distill-session-knowledge
SkillDocs & knowledgeOffline-mine this project''s pi session JSONL logs into reusable, verified knowledge: extracts faults, decisions, corrections, procedures and docs, promotes only recurring patterns, and routes artifacts into skill_manage, memory and docs. Use on "mine my sessions", "distill session knowledge", "extract lessons from logs", "turn my pi history into skills/memory".
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the distill-session-knowledge skill
What this skill tells your AI
The instructions your AI receives, as published by blackbelttechnology/pi-agent-dashboard in packages/distill-session-knowledge/.pi/skills/distill-session-knowledge/SKILL.md and read by ahel’s review.
Offline miner. Turns past pi session traces into durable artifacts. No new
infrastructure — routes into skill_manage, the memory tool, and docs/
(indexed by context-mode FTS5). Dry-run by default; nothing is written until you
review the plan and explicitly apply.
Engine: the published @blackbelt-technology/pi-dashboard-session-distiller
package, invoked through its distill-session-knowledge bin (this skill package
declares it as a runtime dependency).
When to use
- "Mine / distill my pi sessions", "what recurring mistakes do I keep making", "extract reusable procedures from my history", "turn session logs into skills".
- After a stretch of work, to harvest verified lessons before they decay.
Procedure
-
Dry-run the miner (no writes) for this project:
npx --no distill-session-knowledge --cwd "$(git rev-parse --show-toplevel)"Add
--n <k>to change the recurrence threshold (default 3). Add--jsonto emit the full routing plan as JSON for programmatic review. -
Review the routing plan. Each entry shows
signal -> sink [action] conf=…:procedure -> skill_manage— candidate reusable SKILL.md.fault -> memory(failure/tool-quirk)— a wrong-way→right-way tool fix.user_correction -> memory(failure/correction)—+AGENTS.mdflag means it establishes a rule and should also patch the relevant AGENTS.md row.ask_user_decision -> memory(project/convention)— a recorded human decision.documentation -> docs— a recurring how-to summary.STALEflag = confidence below floor; skip or prune, do not write.
-
Apply once the plan looks right — persists the watermark + below-threshold candidates store and prints the final plan:
npx --no distill-session-knowledge --cwd "$(git rev-parse --show-toplevel)" --apply --json -
Execute the routed writes from the plan, using your tools (this is the haiku-class subagent distillation step). For each non-stale entry:
skill_manage→mcp__pi__skill_managecreate/patch (query existing first).memory→mcp__pi__memoryadd with the entry's target + category (memory_searchfirst to dedup; merge into a match instead of duplicating).docs→ delegate the write to a docs subagent in caveman style per the Documentation Update Protocol, thenctx_indexthe new doc so it is FTS5-searchable (task 5.2).+AGENTS.mdentries → patch the relevant AGENTS.md rule via the docs subagent (≤200 chars/row, caveman style) in addition to the memory write.
Guardrails
- Dedup before every write — re-running over the same corpus must create zero
duplicates (the planner marks
mergewhen a sink already holds the artifact; still query the live sink, the planner'sexistsis conservative). - Never write a
STALEartifact. - Stay within this project's sessions (the miner already scopes to the cwd dir).
- Respect the doc protocol: main agent orchestrates, a subagent writes under
docs/.
Verification
npx --no distill-session-knowledge --cwd "$(pwd)"prints a routing plan and mutates nothing (dry-run default; no watermark advance).- Re-running the dry-run over the same corpus yields the same plan (idempotent).
- After apply + routed writes,
ctx_searchreturns a freshly distilled doc.
Signals
- GitHub stars
- 283
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
distill-session-knowledge- Source
- github.com/blackbelttechnology/pi-agent-dashboard