agent-memorylisted

Mechanical recipes for reading agent memory and running the learning loop (cross-session patterns, decisions, failure modes) via the cos_search / cos_details / cos_timeline / cos_learn_* tool family, plus how observation capture actually works (automatic, edit-derived). Use when recalling a past pattern in a new session, running the extract → suggest → validate loop, or understanding why you cannot hand-author a freeform observation. Pairs with src/core/rules/memory.md (policy), thinking_os (when in the Cognitive Cycle to invoke), and search (which retrieval layer to hit first).
kouroshez/coding-os · ★ 4 · AI & Automation · score 76

Install: claude install-skill kouroshez/coding-os

# agent-memory Purpose: turn the policy in [src/core/rules/memory.md](../../rules/memory.md) into mechanical recipes the agent can execute. The rule answers *when* and *what*; this skill answers *how* — the exact tool signatures, what is automatic vs explicit, and what the return envelopes look like. Every signature here is verified against [src/core/thinking_os/server.py](../../thinking_os/server.py); a CI drift-guard test fails if any drifts. Read when: recalling from memory (`cos_search`, `cos_details`, `cos_timeline`, `cos_learn_suggest`), running the learning loop (`cos_learn_extract` / `cos_learn_validate`), or understanding how observations get captured. Skip when: the query target is current code (use [graph-explorer](../graph-explorer/SKILL.md)) or current docs (use `cos_doc_search` per [search](../search/SKILL.md)). Memory is the third-priority retrieval layer. ## The mental model — writes are automatic, you mostly READ The single most important fact: **you do not hand-author observations.** Memory is written automatically by PostToolUse capture hooks — every `Write`/`Edit`/`MultiEdit` derives a sanitized, deduped, impact-scored observation ([capture.py](../../thinking_os/capture.py)), and separate hooks capture tool failures and session events. Confidence on learned patterns is **system-computed** by brain-inspired LTP/LTD formulas, not a number you set. The agent's job is to **read** memory in the Orient phase and **reinforce** patterns via the learn loop. Th