Files
PaperClipAI/docs/guides/agent-developer/skills-store.md
DottaandPaperclip d432dc7fa3 Add GitHub-synced skill sources (#14713)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Company skills supply instructions and files to those agents.
> - GitHub imports already exist, but users cannot manage repositories
as skill sources.
> - Repository refresh also needs caller-authorized access and complete
local packages.
> - This pull request adds Sources inside Skills and reuses GitHub
connections from Apps.
> - Installed snapshots let agents use skills without fetching GitHub
during a run.
> - Manual refresh preserves skill identity and leaves failed imports on
their last good version.

## Linked Issues or Issue Description

**Subsystem affected**

Cross-cutting: skills UI, server, database, shared contracts, and
runtime materialization.

**Problem or motivation**

Users keep skills in GitHub repositories. They need a clear way to
select, import, and refresh those skills. Existing imports do not expose
repository management or consistently preserve supporting files.

**Proposed solution**

Add company-scoped skill sources. Browse repositories from all
accessible GitHub connections, or paste a public repository or branch
URL. Select whole skill packages, inspect included files and reference
warnings, and install complete, immutable snapshots. Refresh each source
manually.

**Alternatives considered**

Project repository settings hide the workflow from Skills. A second
GitHub connector would duplicate credentials and grants. Upstream
editing and PR creation are separate work.

**Roadmap alignment**

This implements the Skills Manager direction in ROADMAP.md. The
maintainer requested this scope and reviewed the component and full-app
journey stories before implementation.

Related reports: Refs #10285, Refs #10949, Refs #13464. Related work:
#14356, #13656, #9268.

## What Changed

- Add source and entry records, an idempotent migration, company-scoped
APIs, and legacy GitHub import adoption.
- Reuse current caller grants and credential refresh. Combine and
deduplicate repository inventories across accessible connections. Pasted
public URLs also prefer the active user’s authorized connections. Tokens
stay in the Git child environment, never argv or disk.
- Fetch a shallow Git snapshot at one immutable commit. Scan the full
local tree, including hidden and nested folders. Read Git objects
without checkout or archive transformations and enforce nested package
boundaries.
- Bound Git downloads to 128 MiB and three minutes. Cancel active
process groups and remove incomplete downloads. Preserve cancellation
and deadlines while progress drains; close stalled HTTP progress streams
after 30 seconds. Reuse caller-scoped temporary snapshots for
preview/import after reauthorization.
- Index repository package boundaries once and cap expanded work at
1,000 packages, 10,000 files, and 100 MiB, including repeated copies of
shared blobs. Bound path depth and the shared path index. Discovery
keeps audited manifests without retaining all package bodies.
- Resolve moving branches before fetching so unchanged discovery reuses
caller-scoped snapshots. Limit active scans, scan frequency, and new
downloads per caller and company; quotas apply before metadata reads and
across connections, and cached scans do not consume the download quota.
- Store complete versions with script content, binary bytes, and
executable modes. Preserve these through copies, runtime caches, and
runner packaging.
- Stage downloads before publication. Use source leases, revision
checks, and transactional activity records. Keep installed versions
after failures, upstream deletion, deselection, and disconnect.
- Add the approved import flow, Sources page, selection tree,
provenance, read-only Studio behavior, and saved return from GitHub
setup.
- Add package manifests, commit-pinned file previews, and separate
runtime requirements and reference warnings. Supporting files are
included together; nested skills remain independently selectable.
Preview requests reauthorize the caller and re-audit package content.
- Show installed skills as compact links beneath each source. Repository
titles open GitHub. Keep Refresh, Select skills, and Disconnect source
in a three-dot menu. Source rows omit the branch, imported count, and
refresh timestamp; action alignment and repository titles work at narrow
widths.
- Stream discovery metadata over an opt-in NDJSON response. Show
measured Git download progress and real package/file counts, animate
newly checked skills, support cancellation, and require a complete scan
before selection. Keep the existing JSON API.
- Retain component stories and add a separate full-app journey story
group. Include fixed progress states and interactive scan,
large-repository, interruption, and saving stories.
- Update Skills documentation and product contracts. Suppress private
GitHub skill references in telemetry. Privacy review requested for the
telemetry changes.

## Verification

- Local repository typecheck, full build, token gates, and Storybook
build passed during this work. Focused transport, authorization,
scanner, persistence, route, and UI tests pass. The final UI refinement
passes all eight focused UI tests, UI typecheck/build, and token gates.
The scanner resource and repeated-discovery fixes pass 132 focused
scanner, transport, authorization, source-service, route, and rate-limit
tests, plus server typecheck/build. Full-suite verification comes from
CI; the older full local Vitest run was stopped after unrelated chat
failures and a font-test failure, all of which passed in fresh focused
runs. At commit `1098d5996`, all 54 active checks pass; two optional
Storybook jobs are skipped. CI covers repository typecheck, build, the
full test suites, browser shards, and the canary dry run. Greptile is
5/5 with no open findings; the security scan also passes.
- Adversarial scanner tests verify repeated-blob byte accounting with
and without declared sizes, package/file/path caps, one-time repository
indexing, metadata-only discovery audits, and nested package boundaries.
Additional tests cover branch movement, snapshot reuse, caller/company
quotas, isolation across connections, active-lease cleanup, quota
recovery, and rejection before any metadata API call.
- Real Git tests verify hidden paths, exact binary bytes, executable
modes, export-ignore preservation, symlink/submodule reporting, pinned
commits, caller-scoped cache reuse, cancellation, cleanup, and
credential isolation. Regression tests hold both download slots with
permanently blocked progress callbacks, verify timeout/cancellation
cleanup and retry, and exercise HTTP backpressure cancellation. Access
tests cover automatic public-URL connection selection and revoked
grants. Database tests verify company and grant audiences.
- Live isolated browser test: the public `anthropics/skills` scan now
completes and discovers all 20 skills without connecting an account.
Imported canvas-design with all 83 files, opened it from Sources, and
verified the installed binary-font preview/download control. Package
previews also expose the complete file inventory before import.
Cancelled an active Git download and retried successfully to all 20
discovered skills; the browser displayed measured download progress. The
current audits reject four other packages; eligible selections remain
importable.
- Browser checks verify the simplified source rows at desktop and narrow
widths, keyboard navigation into the actions menu, Refresh from the
menu, selection, and fixture disconnect with installed skills retained.
Storybook includes a menu-open checkpoint and a 320px layout.
- Storybook includes receiving/preparing download checkpoints and a
timed full-app import journey, plus cancellation, retry,
large-repository, and saving states. Streaming tests cover split UTF-8
frames, incomplete streams, late responses, cross-company requests, HTTP
errors, and JSON compatibility.
- Earlier live acceptance on this PR imported `stitch-skill` with
`DESIGN.md`, assigned it to an agent, disconnected its source, and ran a
successful Studio test that read both installed files. An editable copy
changed independently. Both Skills variants, mobile selection, and
return from GitHub setup were exercised.
- Private access, revoked credentials, OAuth success return,
binary/script preservation, concurrent refresh, transaction rollback,
version pins, and legacy adoption have automated coverage. A real
private-repository OAuth grant was not created during this test.

## Risks

- The migration groups recognizable legacy imports without provider
calls. Their first successful refresh completes the local package
snapshot.
- Reference checks are advisory. They cover Markdown links and explicit
relative resource paths, not arbitrary runtime dependency graphs.
Preview text is capped at 64 KiB; imported bytes remain complete.
- Git must be installed on the server. Shallow fetches still download
the branch snapshot, including files outside selected packages.
Downloads have size/time/concurrency limits. Temporary caches are
bounded and caller-scoped. GitHub API quota still applies to repository
metadata and the connection picker; content no longer uses per-file API
requests. Failed scans retain installed content.
- Sources depend on the current caller's GitHub access. A saved
connection does not grant access to another person's token.
- GitHub script support and immediate manual refresh are explicit
maintainer-approved requirements. The operator trusts the selected
repository and accepts upstream script and executable-mode changes on
refresh. Static audits are not a sandbox or a guarantee of safe code;
agents may later invoke installed helpers under their runtime
permissions. Import and refresh do not execute scripts, hooks, package
installation, or builds. Raw URL and skills.sh imports keep their prior
script restrictions.
- Source originals remain read-only. Refresh affects subsequent unpinned
runs; explicit pins and active runs retain their versions.
- The telemetry change removes source-managed GitHub identifiers from
skill-reference events. It introduces no event or field. Please review
the privacy boundary.

## Model Used

OpenAI Codex, based on GPT-6, with reasoning, code execution, and
browser tools. The exact serving model ID and context-window size are
not exposed in this session.

## Checklist

- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above
- [x] I have either (a) linked existing issues with `Fixes: #` / `Closes
#` / `Refs #` OR (b) described the issue in-PR following the relevant
issue template
- [x] I have not referenced internal/instance-local Paperclip issues or
links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip`
URLs)
- [x] My branch name describes the change (e.g. `docs/...`, `fix/...`)
and contains no internal Paperclip ticket id or instance-derived details
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] All Paperclip CI gates are green
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [x] I will address all Greptile and reviewer comments before
requesting merge

---------

Co-authored-by: Paperclip <noreply@paperclip.ing>
2026-09-30 13:32:58 -05:00

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title, summary
title summary
The Skills Store Browse, install, import, fork, and share the reusable skills your agents use

The Skills Store is Paperclip's library of reusable skills. A skill is a markdown playbook that teaches an agent how to do a specific kind of work — triage an issue, write a wireframe, run QA acceptance, draft a release announcement. The Store is where people (and agents) discover those skills, install them into a company, and manage them over time.

If you want to author a skill, read Writing a Skill. This page is about the store around skills: where they come from, how they get into your company, and how you keep them current.

Two layers: the catalog and your company library

There are two distinct things people loosely call "the skills store":

Layer What it is Lives in
The catalog A curated, read-only set of skills that ships with Paperclip The @paperclipai/skills-catalog package
Your company library The skills actually installed in your company, which agents can run The company_skills database table

The catalog is the shelf you browse. Your company library is the cart you've checked out. Installing a catalog skill copies it into your company library, where you can edit, version, fork, and share it independently of the original.

The bundled catalog

The catalog is built from markdown under packages/skills-catalog/catalog/ and compiled into a manifest (generated/catalog.json) at build time. Each catalog skill is one directory containing a SKILL.md plus any supporting references/, scripts/, or assets/ files.

The catalog splits skills into two kinds:

  • bundled — first-party Paperclip skills (e.g. issue-triage, task-planning, qa-acceptance, wireframe, github-pr-workflow, doc-maintenance). These carry the reserved paperclipai/paperclip/... key namespace.
  • optional — additional curated skills you opt into (e.g. agent-browser, design-critique, release-announcement, last30days, ramp).

Every catalog skill carries metadata used for discovery and safety:

  • category — grouping such as software-development, quality, product, research, content, browser, paperclip-operations, docs.
  • recommendedForRoles — agent roles the skill suits (engineer, qa, designer, product, researcher, …), used to suggest skills when staffing a company.
  • trustLevel — see Trust levels.
  • compatibility — compatible, unknown, or invalid, derived during the build validation pass.
  • contentHash — a hash of the skill's files, used later to detect updates and drift.

Trust levels: what a skill is allowed to carry

Because a skill can bundle more than prose, every skill is classified by how much trust its contents require. The level is derived from the files, not self-declared:

Trust level Contains Notes
markdown_only Only .md files Safest — pure instructions
assets Markdown plus images/PDFs/other static files No executable code
scripts_executables Any script (.sh, .js, .py, .ts, …) Highest scrutiny

GitHub sources support scripts after the existing content audit passes. Importing never executes scripts, hooks, dependency installers, or builds. Raw URL and skills.sh imports retain their existing script restrictions. Unsafe content, secrets, invalid paths, and oversized files are still rejected.

Where skills come from (source types)

A skill in your company library records where it originated. The Store shows this as a source badge:

Source type Badge Meaning
catalog Paperclip / catalog Installed from the bundled catalog
github GitHub Imported from a GitHub repo (pinned to a commit)
skills_sh skills.sh Imported via the skills.sh registry (resolves to GitHub)
url URL Imported from a raw markdown URL
local_path Local Created in-app or scanned from a project workspace on disk

Git-backed sources must resolve to a pinned 40-character commit SHA before import. A moving branch cannot change what agents run until you refresh its source. GitHub originals are read-only; use Make a copy to edit an independent local skill.

Thin wrappers for external live playbooks

Some optional catalog skills intentionally do not vendor a third-party playbook. The ramp skill is the model: Paperclip ships the stable governance wrapper, source allowlist, and approval gates, then tells the agent to fetch Ramp's current published instructions from agents.ramp.com when the task starts.

Use this pattern only when the external provider's setup flow changes often enough that a vendored snapshot would go stale, and when Paperclip can keep the safety boundary in the wrapper. For financial, legal, or account-control domains, the wrapper must require Paperclip approvals before spend, incorporation, account authorization, card issuance, data sharing, or other irreversible actions. The tradeoff should be documented in the skill or PR so reviewers can evaluate freshness against external-instruction risk. If the provider mixes official and community playbooks on the same host, the wrapper must fail closed on unclear provenance and require separate approval before using any third-party tool, connector, browser automation service, or credential flow introduced by a fetched playbook.

Getting skills into your company

The Store offers several paths, all of which land a skill in your company library.

Install from the catalog

Browse the catalog's discovery grid, pick a skill, and install it. Installing copies the catalog skill's files into your company library and stamps provenance metadata (the catalog key, content hash, and package version) so the Store can later tell you when the upstream catalog skill has changed.

  • API: POST /companies/:companyId/skills/install-catalog
  • Re-installing an already-installed catalog skill updates it in place rather than creating a duplicate.

Sync skills from GitHub

Open Skills → Sources → Import from GitHub (also in the New menu), choose a connected repository or click … or add public repo by URL to paste a GitHub.com repository URL, then choose Find skills. The searchable list combines repositories from all GitHub connections you can access, with duplicates removed. Paperclip automatically uses an authorized connection for the chosen repository. Pasted URLs also use your authorized connections when available, including public repositories outside the list. Public repositories can use anonymous access when no connection succeeds; private repositories require access.

A repository URL uses the default branch. Paste a branch URL such as https://github.com/owner/repo/tree/feature/new-skills to track another branch, including branches whose names contain slashes. Add repos opens the standard setup in Apps. Completing or cancelling setup returns you to the importer with your draft retained; the repository list refreshes automatically. Use the refresh button beside the repository count to reload accessible repositories.

The searchable tree starts with every discovered skill package checked, including hidden and deeply nested directories. Each package shows its name and file count; expand it to see the files included with it. Folder checkboxes select descendant packages. A package checkbox selects that whole directory, stopping at nested SKILL.md boundaries; nested skills remain independently selectable. Supporting files cannot be deselected individually.

Use the inspection button or click an included file to open a read-only preview. The inspector shows the repository path, scanned commit, byte sizes, executable flags, and any compatibility requirements declared by the author. Text previews show up to 64 KiB; binary assets show metadata and a link to GitHub for viewing or download. Preview reads use the current caller's GitHub access and re-audit the package at that exact commit. Preview failures do not alter selection or installed content. Existing sources gain inspection metadata on their next successful refresh.

Check references flags detectable Markdown links and inline-code relative resource paths that are missing or outside the package, including files belonging to nested skills. This is a best-effort check, not a complete dependency analysis; references do not cause external files to be imported automatically. Fix the source or leave the package unchecked if it needs those files. Declared requirements are shown separately from these warnings and from content-audit notices.

Validation errors appear beside affected skills; eligible selections import and skipped skills are reported. These skills become available in the current company's library and agent skill picker. Files are limited to 1 MiB each and a scan to 100 MiB of expanded skill content, counting repeated file copies. A scan supports up to 1,000 skill packages and 10,000 package files. The repository path index includes directories and is limited to 100,000 paths, with paths up to 4,096 characters and 64 levels deep. Discovery retains audited manifests without retaining every package's contents. Importing never runs scripts, hooks, dependency installation, or builds.

Repeated scans resolve the branch's current commit and reuse the caller's cached snapshot when it is unchanged. Each server process allows one active scan per caller and two per company. Per minute, callers can open 30 snapshots and download 6 repositories; companies can open 60 snapshots and download 12 repositories. Cached scans do not consume the download quota. A limit returns a retry message; installed skills remain available.

Skills → Sources shows repositories, installed skill links, and connection errors. Click a repository title to open it on GitHub. Its three-dot menu contains Refresh, Select skills, and Disconnect source. Refresh applies valid updates immediately. New skills wait for Select skills → Save selection before import. Previously declined skills stay unchecked, including additions beneath excluded folders.

Unchecking an installed skill stops future syncing and keeps its content and agent assignments. Disconnect source does the same for the whole repository. Remove an installed skill separately if you want it gone from the library. Upstream deletion shows Removed from source and retains the installed version; a moved path is a new skill, not an inferred rename.

Installed content is stored locally, so viewing, testing, and agent execution work without GitHub access. Updates preserve skill identity, organization, assignments, and history. New versions are created only when package bytes or executable modes change; active runs and pinned versions keep their existing content. Skill Studio can view and test originals. Make a copy creates an independent editable skill.

Older imports with no saved tracking branch resolve the repository’s default branch on their first successful refresh. If an explicit source already tracks that branch, the adopted source keeps a Default branch alias so both sets of installed skill identities and selections remain intact. Explicit branch and commit pins are preserved.

Recognizable older GitHub imports are adopted into Sources without refetching or changing content; the first successful refresh completes their local snapshots. Bundled/catalog, project/local, unsupported-host, and skills.sh imports keep their existing behavior. Sync is manual and GitHub.com-only; upstream editing and pull requests are not part of this milestone.

While finding skills, the dialog shows the scan stages, the current file, and recently checked skills as their local packages are validated. Large repositories show real package and file counts; you can cancel and retry without importing partial results. Selection opens only after the full scan completes. Importing displays an animated saving state while complete local packages are prepared. Animations respect reduced-motion preferences.

Paperclip fetches one shallow Git snapshot, preserving committed bytes and executable permissions without checking out or running repository code. Download progress shows Git's measured receiving and preparing percentages before discovery begins. The server requires Git. Downloads are limited to 128 MiB and three minutes; at most two downloads run concurrently. Up to four temporary snapshots (including active downloads) are kept for ten minutes, scoped to the company and caller's authorization. Preview and import can reuse the exact scanned commit after checking access again. Installed skills remain local and independent of this temporary cache. GitHub's API is still used for repository identity and the connection picker, so metadata requests can still encounter rate limits.

The discovery API keeps its normal JSON response. Clients requesting Accept: application/x-ndjson receive progress and candidate events followed by complete (containing the discovery response), or a terminal error. A stream ending without complete is unsuccessful; partial candidates are not importable. Progress contains metadata only, never package file contents.

Source APIs live beneath /api/companies/:companyId/skill-sources:

Method/path Purpose
GET / and GET /:sourceId List sources and entries
GET /repositories Browse repositories through existing GitHub grants
POST /discover Discover and validate packages at one commit
POST /preview Preview an audited package file at an immutable commit using current caller access
POST / Import selected packages at the discovered commit
PATCH /:sourceId Save selection/exclusions and optional connection, with revision check
POST /:sourceId/refresh Refresh selected skills; discover new ones for review
DELETE /:sourceId Disconnect while retaining installed skills

Import from an external source

Paste a source and Paperclip fetches and imports it. Accepted forms include:

  • A GitHub repo or subfolder URL (https://github.com/owner/repo/tree/<ref>/skills/foo)
  • A short owner/repo or owner/repo/skill reference
  • A skills.sh URL or an npx skills add … command (both resolve to the GitHub source)
  • A raw markdown URL pointing directly at a SKILL.md

A repo can contain many skills; the importer discovers every SKILL.md under the path (optionally filtered to a single --skill slug).

  • API: POST /companies/:companyId/skills/import

Create a local skill

Author a skill directly in the company library without any external source. This is the "new skill" path — you provide the name, description, and markdown body and it's stored as a local_path / managed-local skill.

  • API: POST /companies/:companyId/skills

Scan a project workspace

Agents and projects often already keep skills on disk under conventional folders (skills/, .claude/skills/, .agents/skills/, and many other tool-specific roots). The project scan walks a workspace, finds those SKILL.md directories, and offers to import them into the company library, reporting any conflicts or skips.

  • API: POST /companies/:companyId/skills/scan-projects

Living with installed skills

Once a skill is in your library, the Store treats it like a small product with a lifecycle.

Versions

Each skill keeps a revision history. Saving a new version snapshots the full file inventory (with content) and bumps the revision number, so you can review history and roll back.

  • List: GET /companies/:companyId/skills/:skillId/versions
  • Create: POST /companies/:companyId/skills/:skillId/versions

Updates, drift, and reset

For skills installed from the catalog or an external source, the Store tracks the origin. The update status endpoint compares your installed copy against the latest upstream and reports whether an update is available, whether you have locally modified the skill (drift), and any hold reason that should block an automatic update.

  • Check: GET /companies/:companyId/skills/:skillId/update-status
  • Install the upstream update: POST /companies/:companyId/skills/:skillId/install-update (with force to override local drift)
  • Discard local changes and return to the pristine origin: POST /companies/:companyId/skills/:skillId/reset

Audit

A skill can be audited to compare its installed content hash against its recorded origin hash and flag tampering or unexpected drift. The audit returns a verdict and a set of codes that the Store surfaces as a health signal.

  • API: POST /companies/:companyId/skills/:skillId/audit

Fork

Forking copies an existing skill into a new, independent library entry (optionally with a new name, slug, and sharing scope). The fork records what it was forked from, and the original's forkCount increments. Use this to customize a catalog or community skill without losing the ability to see the upstream it came from.

  • API: POST /companies/:companyId/skills/:skillId/fork

Stars and comments

Skills are social objects inside the Store. Members can star a skill (a per-actor toggle that drives the starCount) and leave threaded comments for discussion and review.

  • Star / unstar: POST / DELETE /companies/:companyId/skills/:skillId/star
  • Comments: GET / POST /companies/:companyId/skills/:skillId/comments, plus PATCH and DELETE for editing and removing.

Sharing scope

Every company skill has a sharing scope that controls who can see it:

Scope Visibility
private Only the author/owner
company Everyone in the company
public_link Anyone with the generated public share token

Scope is set when creating, updating, or forking a skill, and the Store's discovery view can filter by it.

How agents actually use installed skills

Installing a skill is not the same as an agent running it. At runtime, a company's installed skills are materialized into the agent's workspace as SKILL.md directories, and the agent's harness loads the frontmatter name + description of each skill as routing logic. The agent reads those one-line descriptions to decide whether a skill is relevant to the current task, and only then loads the full body. (This is why a skill's description should read as "what this does and when to use it" — it is the index the agent searches.)

Skill sync into agent workspaces is governed by a per-instance preference, so an operator can control whether and how the company library is pushed down to running agents.

Reference: API surface

All endpoints are under the company-skills router.

Catalog (read-only)

  • GET /skills/catalog — list the bundled catalog
  • GET /skills/catalog/:catalogId — one catalog skill
  • GET /skills/catalog/:catalogId/files — its file inventory + content

Company library

  • GET /companies/:companyId/skills — list (supports q, sort, categories, scope)
  • GET /companies/:companyId/skills/categories — category counts
  • GET /companies/:companyId/skills/:skillId — detail
  • GET /companies/:companyId/skills/:skillId/files — file inventory + content
  • POST /companies/:companyId/skills — create a local skill
  • PATCH /companies/:companyId/skills/:skillId — edit metadata / sharing scope
  • DELETE /companies/:companyId/skills/:skillId — remove from the library
  • POST /companies/:companyId/skills/install-catalog — install a catalog skill
  • POST /companies/:companyId/skills/import — import from GitHub / skills.sh / URL
  • POST /companies/:companyId/skills/scan-projects — scan workspaces for skills
  • POST /companies/:companyId/skills/:skillId/fork — fork a skill
  • POST /companies/:companyId/skills/:skillId/versions · GET …/versions · GET …/versions/:versionId
  • GET /companies/:companyId/skills/:skillId/update-status
  • POST /companies/:companyId/skills/:skillId/install-update
  • POST /companies/:companyId/skills/:skillId/reset
  • POST /companies/:companyId/skills/:skillId/audit
  • POST / DELETE /companies/:companyId/skills/:skillId/star
  • GET / POST /companies/:companyId/skills/:skillId/comments · PATCH / DELETE …/comments/:commentId

All mutating endpoints require permission to manage the company's skills and are recorded in the company activity log.

Reference: the catalog package

The catalog is its own publishable package, @paperclipai/skills-catalog:

  • catalog/bundled/** and catalog/optional/** — the source skill directories
  • scripts/build-catalog-manifest.ts — compiles the directories into generated/catalog.json
  • scripts/validate-catalog.ts — validates frontmatter, keys, and trust classification
  • src/index.ts — exports catalogManifest, catalogSkills, getCatalogSkill(id), and resolveCatalogSkillRef(ref) for resolving a skill by id, key, or slug

To add a skill to the bundled catalog, create the directory with a SKILL.md, then run the package's build:manifest (and validate) scripts to regenerate and check the manifest.

See also

         (o)___(o)
        /         \
       |  o     o  |
       |     <     |
        \  \___/  /
         \_______/
        /         \
   ~~~ ribbit ~~~  skills! ~~~