Architect
Research-backed evolution advice for your knowledge system.
Install
npx skills add agenticnotetaking/arscontexta --skill architect -g -a claude-code -y- Repository
- agenticnotetaking/arscontexta3.5k
- Category
- Writing
- Updated
- 8mo ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Research-backed evolution advice for your knowledge system. Analyzes health reports, friction patterns, and derivation history to propose specific changes with research justification. Never auto-implements, proposals require your approval.
Runtime Configuration (Step 0, before any processing)
Read these files to configure domain-specific behavior:
-
ops/derivation-manifest.md, vocabulary mapping, platform hints- Use
vocabulary.notesfor the notes folder name - Use
vocabulary.note/vocabulary.note_pluralfor note type references - Use
vocabulary.topic_map/vocabulary.topic_map_pluralfor MOC references - Use
vocabulary.inboxfor the inbox folder name - Use
vocabulary.cmd_reflectfor connection-finding command name - Use
vocabulary.cmd_reweavefor backward-pass command name - Use
vocabulary.cmd_verifyfor verification command name - Use
vocabulary.architectfor the command name in output
- Use
-
ops/config.yaml, processing depth, pipeline chaining, automation settings -
ops/derivation.md, original derivation record (the design intent baseline)
If these files don't exist, use universal defaults and warn the user.
EXECUTE NOW
Target: $ARGUMENTS
Parse immediately:
- If target names a specific area (e.g., "schema", "processing", "MOC structure"): focus analysis on that area
- If target is empty: run full-system analysis across all dimensions
- If target is
--dry-run: run analysis but do not offer implementation
Execute these phases sequentially:
- Locate system files and detect platform
- Read derivation record for design intent
- Analyze health data (recent report or live check)
- Scan for friction patterns across operational surfaces
- Consult research to ground evidence in specific claims
- Generate 3-5 ranked recommendations with full evidence chains
- Present to user and implement on approval
START NOW. Reference below defines the seven-phase workflow.
Philosophy
Evidence beats intuition. Research beats habit.
