researcher
Generates or refreshes research artifacts and RLM evidence for a ticket. Use when research stage should produce or update canonical RLM outputs.
Profile →npx skills add majiayu000/claude-skill-registry --skill researcher-grinrus-ai-driven-dev --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
Follow `feature-dev-aidd:aidd-core`. ## Steps 1. Set active feature and stage `research`. 2. Run `python3 ${CLAUDE_PLUGIN_ROOT}/skills/researcher/runtime/research.py --ticket <ticket> --auto`. 3. Re-run the same entrypoint with optional overrides (`--paths`, `--keywords`, `--note`) when targeted refresh is needed. 4. Validate RLM outputs (`*-rlm-targets.json`, `*-rlm-manifest.json`, `*-rlm.worklist.pack.json`, optional `*-rlm.pack.json`). 5. Run subagent `feature-dev-aidd:researcher`. First action: read RLM pack/worklist. 6. In `--auto` mode run bounded canonical finalize recovery once (`rlm_finalize --bootstrap-if-missing`) from stage runtime. 7. If RLM is still pending after auto recovery, return deterministic pending reason + explicit next action (`python3 ${CLAUDE_PLUGIN_ROOT}/skills/aidd-rlm/runtime/rlm_finalize.py --ticket <ticket>`) and append research handoff via `python3 ${CLAUDE_PLUGIN_ROOT}/skills/aidd-flow-state/runtime/tasks_derive.py --source research --append`. 8. Return the output contract with explicit next step (`/feature-dev-aidd:plan-new <ticket>` when stage handoff is ready). ## Command contracts ### `python3 ${CLAUDE_PLUGIN_ROOT}/skills/researcher/runtime/rese
- Steps
- Command contracts
- python3 ${CLAUDEPLUGINROOT}/skills/researcher/runtime/research.py
- Notes
- Migration policy
- Additional resources
What does the researcher skill do?
Generates or refreshes research artifacts and RLM evidence for a ticket. Use when research stage should produce or update canonical RLM outputs.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill researcher-grinrus-ai-driven-dev --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.