## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Its user journeys span tasks, agents, projects, connected apps, governance, and CLI operations. > - Existing tests do not provide a shared index of entry points and verification steps. > - Contributors need to see which surfaces a change affects and what evidence exists. > - This pull request adds an optional product feature map with recipes and explicit coverage gaps. > - The map adds no CI checks or required maintenance for future pull requests. > - Contributors can use it to find verification steps and state what they checked. ## Linked Issues or Issue Description **Issue type** Missing documentation. **Where is the issue?** User-journey verification guidance in AGENTS.md and doc/DEVELOPING.md. **What's wrong?** There is no shared index of product features, user entry points, available test evidence, and remaining coverage gaps. Shared components can hide differences between their hosts. **Suggested fix** Add a documentation-only capability index and verification recipes. The format takes inspiration from [Omnigent's feature map](https://github.com/omnigent-ai/omnigent/tree/91acfbbb59f6fc210ff95a9e9428aadd62e06582/feature-map). The recipes describe Paperclip's own behavior and tests. Searched GitHub PRs and issues for `feature map` and `feature-map`. No duplicate change was found. Checked ROADMAP.md. This PR documents existing capabilities. ## What Changed - Added 35 feature recipes, 171 named sub-features, and 91 entry points across product, CLI, operator, and developer surfaces. - Each recipe describes setup, expected results, existing automated evidence, manual verification, and coverage gaps. - Added a dated source snapshot of 185 non-test page TSX modules in 15 areas. The snapshot describes documentation coverage, not runtime health. - Included entry points within existing pages, CLI/API operations, and experimental surfaces. Identified helper-only test evidence where a rendered journey has no automated proof. - Linked the map from AGENTS.md and doc/DEVELOPING.md as an optional reference. - The final diff contains only Markdown and the inventory JSON. It adds no checker, tests, package commands, workflows, dependencies, scheduled work, or mandatory inventory updates. ## Verification - PASS: local documentation links resolve and the inventory JSON parses. Confirmed the final PR diff contains only 39 documentation files. - PASS: `node --test '.github/scripts/tests/*.test.mjs'` — 381 existing tests after removal of the feature-map tests. - PASS: `git diff --check`. - Earlier local build and typecheck passed. The full local test run was stopped after 26 minutes with failures in unchanged chat-channel and native-runner integration tests. It did not complete. These application checks were not repeated for the documentation-only removal. - [CI on the preceding head](https://github.com/paperclipai/paperclip/actions/runs/37398407523) passed all applicable checks. Checks on the final documentation-only head are pending. - PASS: Greptile review on final head `45c4b0aeb26540324825da43e81bee2336ad1c1f` is 5/5. There are no unresolved findings. - Live product/provider journeys were not run to author the map. The recipes identify available evidence and manual steps, not new qualification results. ## Risks Low product risk: the PR changes documentation only. Recipes and the source snapshot can become stale. Maintenance is optional and based on review. Linked tests do not prove that every documented journey works. The map states remaining coverage gaps. ## Model Used OpenAI Codex, GPT-6 family, with repository inspection, reasoning, tool use, and code execution. The exact serving model ID and context window were 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 - [ ] 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>
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CLI, API clients, and local worktrees
Operators and agents can work through explicit CLI/API context, manage domain resources, inspect runs, and create isolated local worktree instances for development.
Implementation: command registry, client context, worktree commands.
Sub-features
context: choose instance/API base, profile, identity, and company explicitly.domain-commands: read/write tasks, agents, projects, goals, approvals, routines, and other registered resources.outputs: work with documents/assets/skills and inspect machine-readable results.run-controls: invoke/inspect supported runs and observe actual outcomes.worktree-instances: initialize, seed, diagnose, and clean up only an owned development instance.
How to get to it (user POV)
client-context
Use paperclipai context show/list/use/set, auth/connect, and the registered resource command help.
subresources-and-runs
Use issue subresource, asset/skill, and run/heartbeat commands exposed by the CLI help.
worktree-instance
Use the documented worktree/test-drive commands in an owned checkout; inspect paperclipai worktree --help first.
Driving it
Preconditions: follow the baseline. Use --help from the checked-out CLI to discover exact arguments. Select a disposable company and isolated context; do not inherit an unknown API target.
client-context
Automated: context, HTTP client, and operations parity cover client contracts, not every live endpoint.
Manual: Inspect the selected context and identity, list the disposable company’s resources, create a harmless task through the supported command, and verify it in the browser. Exercise an invalid token and wrong-company resource. Inspect JSON output and nonzero errors rather than only printed success text.
subresources-and-runs
Automated: issue subresources and asset/skill parity cover command/API contracts.
Manual: Write a small task document or attach a fixture using the supported command, open it in the UI, and compare contents. Invoke eligible test work, inspect the resulting run ID/status/output, and verify denial when the actor lacks permission.
worktree-instance
Automated: worktree commands and test drive cover isolation/setup contracts.
Manual: Initialize an owned disposable worktree instance, inspect its printed paths and ports, verify health and login, and confirm any seed data belongs to the intended source. Stop and clean up only that instance; inspect preserved work before deleting any checkout.
Gotchas
- API success proves its contract, not the equivalent browser creation journey.
- The CLI command registry is broader than the UI page inventory; new command families need a recipe review.
- See instance operations for install/update/backup and feature-specific recipes for domain behavior.