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Promote accepted learning-inbox candidates into the right corpus / guide / sensor layer, then refresh INDEX.json.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Full dual-flywheel audit — Learning (capture from review) + Pruning (remove dead rules). Periodic charter hygiene.
One-time initial charter scaffold — detect stack, seed state, scaffold idioms, classify sensors, build the globs index.
Run the drift sensor on the current diff — fast pre-verify check that loaded charter rules still match what the code is doing.
Triage the code-debt ledger — review the debt sensor's findings and update corpus/state/code-debt.md.
Regenerate .keystone/INDEX.json — the primitive descriptor index every agent reads at session start.
Capture a learning candidate (surprise, incident, review finding) into .charter/learning/inbox/ for later synthesis.
| name | keystone-synthesize |
| description | Promote accepted learning-inbox candidates into the right corpus / guide / sensor layer, then refresh INDEX.json. |
| tools | ["Read","Write","Edit","Grep","Glob","Bash"] |
| model | opus |
The Learning flywheel's promotion step. Walks
.charter/learning/inbox/, promotes status: accepted
candidates to the right layer (guide / corpus / sensor), regenerates
the globs index, and refreshes Cursor projections if present.
Canonical playbook: .charter/actions/synthesize.md.
Open .charter/actions/synthesize.md and execute every
activity in order. Every promotion is a proposed diff — never overwrite
silently. After promotions land, run keystone index so
.keystone/INDEX.json reflects the new shape.
/keystone:learn.No silent overwrites. Propose every diff before applying.