recap

GitHub

根据用户指令或时间范围(如今天、本周),调用 memory_sessions 和 memory_recall 工具,汇总并展示最近的项目会话记录及关键观察结果。

plugin/skills/recap/SKILL.md rohitg00/agentmemory

Trigger Scenarios

recap what have we been doing today this week

Install

npx skills add rohitg00/agentmemory --skill recap -g -y
More Options

Non-standard path

npx skills add https://github.com/rohitg00/agentmemory/tree/main/plugin/skills/recap -g -y

Use without installing

npx skills use rohitg00/agentmemory@recap

指定 Agent (Claude Code)

npx skills add rohitg00/agentmemory --skill recap -a claude-code -g -y

安装 repo 全部 skill

npx skills add rohitg00/agentmemory --all -g -y

预览 repo 内 skill

npx skills add rohitg00/agentmemory --list

SKILL.md

Frontmatter
{
    "name": "recap",
    "description": "Summarize the last N agent sessions for the current project, grouped by date, with highlight observations per session. Use when the user asks \"recap\", \"what have we been doing\", \"today\", \"this week\", or wants a rollup of recent work.",
    "argument-hint": "[last N | today | this week]",
    "user-invocable": true
}

The user wants a recap. Time window args: $ARGUMENTS

Quick start

memory_sessions { "project": "<current-project-id>", "limit": 30 }

Then per surviving session: memory_recall { "query": "<top concepts>", "project": "<current-project-id>", "limit": 3 }. When an agent is requested, pass the same agentId to both calls.

Expected output:

2026-06-07
  7f3a9c2 · "Auth refresh rework" · 14 obs · completed
    - [8] Rotate refresh tokens on every use
3 sessions across 2 days, 41 observations.

Why

Only summarize sessions and observations the tools returned. An empty window is a real answer, not a prompt to invent activity.

Workflow

  1. Parse $ARGUMENTS: today = current local date; this week = last 7 days; last <n> or bare numeric = most recent N; empty = last 10.
  2. Call memory_sessions with the exact recorded project identifier when known and the requested agentId. Follow nextCursor with the same filters until the requested window is covered or pages end. When the project identifier is unknown, match normalized cwd by directory boundary across pages before applying the time/count window. Sort by startedAt descending.
  3. Group survivors by local calendar date (YYYY-MM-DD).
  4. Per session list id (first 8), title or first prompt, observation count, status. Obtain highlights with memory_recall, retaining project/agent scope, and verify each result belongs to that session before including it.
  5. End with "N sessions across M days, K observations."

Anti-patterns

WRONG: window is empty, so you summarize "a productive week of auth work" from memory of the conversation.

RIGHT: "No sessions in the last 7 days for this project."

Checklist

  • Window parsed correctly from the argument.
  • Sessions filtered to the current project's cwd.
  • Highlights come from memory_recall, not paraphrase.
  • Totals line reflects the actual counts shown.

See also

  • handoff, session-history, recall: same session data, different lens.

Troubleshooting

See TROUBLESHOOTING.md if memory_sessions or memory_recall is not available.

Version History

  • e01540e Current 2026-10-19 02:22

    强化项目上下文过滤逻辑,通过 cwd 精确匹配当前项目以隔离数据;新增对 agentId 的传递支持,提升多代理场景下的查询准确性。

  • a8e7d19 2026-07-24 11:39

Same Skill Collection

plugin/skills/agentmemory-agents/SKILL.md
plugin/skills/agentmemory-architecture/SKILL.md
plugin/skills/agentmemory-config/SKILL.md
plugin/skills/agentmemory-hooks/SKILL.md
plugin/skills/agentmemory-mcp-tools/SKILL.md
plugin/skills/agentmemory-rest-api/SKILL.md
plugin/skills/commit-context/SKILL.md
plugin/skills/commit-history/SKILL.md
plugin/skills/forget/SKILL.md
plugin/skills/handoff/SKILL.md
plugin/skills/lesson/SKILL.md
plugin/skills/memory-discipline/SKILL.md
plugin/skills/recall/SKILL.md
plugin/skills/remember/SKILL.md
plugin/skills/session-history/SKILL.md
plugin/skills/write-agentmemory-skill/SKILL.md

Metadata

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2026-07-24 11:39

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