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recall

Recall what was done on a specific project or topic from past AI coding sessions. Use when the user says "what did I do on [project]", "recall [topic]", "history of [project]", "when did I last work on [thing]" — but also when they reference prior work without asking for history explicitly: "didn't we already fix this", "what was that approach we tried", "why did we do it this way", "what happened to [file/feature]". Use PROACTIVELY before re-deriving a decision or re-solving a problem a past session likely settled — past conversations hold rationale and dead ends that never made it into git.

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仓库
nicknisi/sessions
最近来源活动
2026年7月16日 17:30
检测到的 SKILL.md 语言
英语
星标
35
分支
6

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SKILL.md
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name
recall
description
Recall what was done on a specific project or topic from past AI coding sessions. Use when the user says "what did I do on [project]", "recall [topic]", "history of [project]", "when did I last work on [thing]" — but also when they reference prior work without asking for history explicitly: "didn't we already fix this", "what was that approach we tried", "why did we do it this way", "what happened to [file/feature]". Use PROACTIVELY before re-deriving a decision or re-solving a problem a past session likely settled — past conversations hold rationale and dead ends that never made it into git.
argument-hint
project name or path
Recall past work on a specific project or topic. ## Steps 1. **Classify the question.** Each shape has a cheapest path: - **Needle** — "what did we decide about X?" → search, then read just the matched exchange. - **Arc** — "where did we leave off on X?" → digest the relevant session(s). - **Artifact** — "what happened to this file?" → search with the `files` filter. 2. **Find candidate sessions.** Call `search_sessions`: - Needle/arc: `query` = topic keywords; add `project` if a path was given; `limit`: 10. - Artifact: `files`: [path or suffix], no `query` — results come back newest first. Each result carries `messageHits` — the specific messages that matched (`index`, `role`, `snippet`). The snippets alone often answer a needle question. 3. **Digest the best 1-3 candidates.** Call `get_session_digest` with each candidate's `filePath`. One bounded call (~2k tokens) returns the session's arc: every genuine user turn paired with its exchange's final assistant reply, each with a message `index`. For "where did we leave off", the last exchange of the newest session's digest usually is the answer. 4. **Expand only what you need.** To read around a specific point, call `get_session_messages` with `offset` = a `messageHits[].index` (from search) or `exchanges[].index` (from digest) and a small `limit` (5-10). Never page a transcript from offset 0 when a hit or digest index is available. 5. **Summarize the history.** Write a chronological summary: ### Sessions on {project/topic} For each relevant session: - **{date}** ({tool}) — What was worked on, key decisions made, outcome **Overall arc:** How the work evolved across sessions. ## Guidelines - Budget discipline: digests are bounded, transcripts are not. Prefer one digest over five pages of messages; expand at most the exchanges you need. - If a digest returns empty `exchanges` (no genuine human turns), fall back to `get_session_messages`. - Order chronologically (oldest first) to show the arc of work. - For vague date-range asks ("what was I doing last week?"), use `get_activity_digest` with a date range instead of search. - Focus on decisions and outcomes, not implementation details. - If there are many sessions, group by phase or milestone rather than listing each one.
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