aget-studyup
Research a topic across the knowledge base before implementation. Searches L-docs, patterns, PROJECT_PLANs, SOPs, and governance for relevant context.
npx skills add majiayu000/claude-skill-registry --skill aget-studyup-aget-framework-template-analyst-age --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.
# /aget-studyup Focused KB research on a specific topic before proposing changes or starting implementation. ## Purpose Per L335 (Memory Architecture) and PATTERN_step_back_review_kb, this skill enables targeted research across the knowledge base. Use it to gather context and precedents before implementing changes. ## Input $ARGUMENTS - The topic to research (required) Examples: - `/aget-studyup release` — Research release-related artifacts - `/aget-studyup skills` — Research skill-related context - `/aget-studyup L477` — Find references to specific L-doc ## Execution ### Step 1: Validate Input If no topic provided, prompt user: > **Topic required** > > Usage: `/aget-studyup <topic>` > > Example: `/aget-studyup release` ### Step 2: Run Study Up Script ```bash python3 scripts/study_up.py --topic "$ARGUMENTS" ``` The script searches 5 KB areas: - L-docs (`.aget/evolution/L*.md`) - Patterns (`docs/patterns/PATTERN_*.md`) - PROJECT_PLANs (`planning/PROJECT_PLAN*.md`) - SOPs (`sops/SOP_*.md`) - Governance (`governance/*.md`) ### Step 3: Present Findings Display results in this format: ``` === /aget-studyup: {topic} === L-docs Found: [count] - L###: {title} ({match_count} matches) - ...
- Purpose
- Input
- Execution
- Step 1: Validate Input
- Step 2: Run Study Up Script
- Step 3: Present Findings
- Step 4: Suggest Next Steps
- Output Modes
- Human-Readable (default)
- JSON (programmatic)
- Quiet (minimal)
- Constraints
- When to Use
- Related Skills
python3 scripts/study_up.py --topic "$ARGUMENTS" python3 scripts/study_up.py --topic "$ARGUMENTS" --json python3 scripts/study_up.py --topic "$ARGUMENTS" --quiet
What does the aget-studyup skill do?
Research a topic across the knowledge base before implementation. Searches L-docs, patterns, PROJECT_PLANs, SOPs, and governance for relevant context.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill aget-studyup-aget-framework-template-analyst-age --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.