skill-ariaxhan-the-agent-library-synthesize-learnings · by Install
$ agentstack add skill-ariaxhan-the-agent-library-synthesize-learnings ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-ariaxhan-the-agent-library-synthesize-learnings) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Synthesize Learnings
A pile of notes is not knowledge until it's distilled. Left alone, learnings duplicate, contradict each other, and rot into noise. This compresses many sessions of accumulated notes into a smaller set of things actually worth keeping, and promotes the few that have earned it into durable rules.
This works across many sessions. For writing up a single effort, use a session wrap-up instead.
1. Gather the accumulated entries
Pull every learning, note, takeaway, or decision in scope: a time range, a topic, or the whole collection. Get them in one place before judging any of them.
2. Analyze across five lenses
Pass the whole set through each lens:
- Cluster: group entries by theme.
- Merge: collapse duplicates into the single strongest wording.
- Resolve: where two entries contradict, settle it with evidence and archive the loser. Never keep both "true."
- Flag stale: mark entries that are old and were never reinforced.
- Identify promotable: spot patterns that recurred across multiple separate occasions.
3. Apply the promotion gate
This is the heart of it. One vivid, excited capture is an anecdote, not a lesson. A pattern earns promotion only when it recurred across multiple independent times. For each candidate, state the evidence: which separate occasions showed it. If you can only point to one, it stays a note.
Promoting on excitement instead of recurrence is exactly how a notes pile fills with confident noise.
4. Act, then confirm
Carry out the merges, the archives (with a one-line reason each), and stage the promotions. Before encoding a promoted pattern as a durable rule, confirm it with the user: promotion changes how future work behaves, so it shouldn't be silent.
5. Report the health of the collection
Summarize the state so the trend is visible over time: how many entries total, how many active, how many stale, how many promoted this pass.
Output
Return:
- The deduped, contradiction-resolved note set (with what was merged and what was archived, and why).
- A list of promoted patterns, each with the recurrence evidence behind it.
- A health summary: total / active / stale / promoted counts.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ariaxhan
- Source: ariaxhan/the-agent-library
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.