doc-research-improvements
Research-driven critique and enhancement of Amelia architecture or ideas docs. Use with GPT-5.2 when given a design/architecture doc to analyze concepts, find sources, and propose improvements plus OSS candidates.
npx skills add majiayu000/claude-skill-registry --skill prove-majiayu000-claude-skill-registr-dc7985ac --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.
# Doc Research and Improvement (GPT-5.2) Use this skill to analyze a single doc (architecture or idea), research its referenced concepts, and propose improvements with external sources and implementation candidates. ## Input Parameters | Parameter | Description | Required | |---|---|---| | `doc_path` | Path to the doc to analyze. | Required (unless `doc_text`) | | `doc_text` | Raw doc content if not reading from file. | Optional | | `focus_areas` | Comma list: architecture, data-model, orchestration, security, observability, testing, UX, scaling, cost. | Optional | | `depth` | `quick` (top 3 items) or `standard` (top 5-8 items). | Optional | | `constraints` | Explicit constraints to respect (ex: local-first, SQLite, no background jobs). | Optional | ## Repository Context (Align To) These are core assumptions from `docs/site/architecture/*` and `docs/site/ideas/*`: - Amelia is a local-first, agentic coding orchestrator with LangGraph, FastAPI, and SQLite. - Primary workflow: Architect -> Developer -> Reviewer with human approval gates. - Design principles: structured handoffs, verify before done, environment as truth. - Drivers and trackers are pluggable abstractions. - Ideas are ex
- Input Parameters
- Repository Context (Align To)
- Required Workflow
- Output Format
- Guardrails
What does the doc-research-improvements skill do?
Research-driven critique and enhancement of Amelia architecture or ideas docs. Use with GPT-5.2 when given a design/architecture doc to analyze concepts, find sources, and propose improvements plus OSS candidates.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill prove-majiayu000-claude-skill-registr-dc7985ac --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.