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recaprecap 搜索

Agent Skill

recap 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

692

周安装

28

GitHub Stars

53

下载量

217
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:recap(recap 搜索)
来源仓库:https://github.com/soul-brews-studio/oracle-skills-cli
仓库路径:skills/recap
安装命令:
npx skills add https://github.com/soul-brews-studio/oracle-skills-cli --skill recap
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/soul-brews-studio/oracle-skills-cli --skill recap

简介

recap 用于查找、检索和筛选相关信息,支持对已有内容进行总结与回顾。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中辅助会议纪要或报告撰写。
  • 通过 npx skills add 命令从 GitHub 仓库安装,输出格式需结合实际需求调整。
  • 建议在使用前测试其准确性与适用边界。
  • recap 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

/recap — Session Orientation & Awareness

Goal: Orient yourself fast. Rich context by default. Mid-session awareness with --now.

Usage

/recap           # Rich: retro summary, handoff, tracks, git
/recap --quick   # Minimal: git + focus only, no file reads
/recap --now     # Mid-session: timeline + jumps from AI memory
/recap --now deep # Mid-session: + handoff + tracks + connections

DEFAULT MODE (Rich)

Run the rich script, then add suggestions:

bun ~/.claude/skills/recap/recap-rich.ts

Script reads retro summaries, handoff content, tracks, git state. Then LLM adds:

  • What's next? (2-3 options based on context)

Step 2: Git context

git status --short
git log --oneline -1

Check what's appropriate from git status:

  • Uncommitted changes? → show them, suggest commit or stash
  • On a branch (not main)?git log main..HEAD --oneline to see branch work
  • Branch ahead of remote? → suggest push or PR
  • Clean on main? → just show last commit, move on

Only read what matters — don't dump 10 commits if status is clean.

Step 3: Read latest ψ/ brain files

Sort all ψ/ files by modification time, read the most recent:

find ψ/ -name '*.md' -not -name 'CLAUDE.md' -not -name 'README.md' -not -name '.gitkeep' 2>/dev/null | xargs ls -t 2>/dev/null | head -5

Read those top 5 files. This recovers the same context /compact restores — handoffs, retros, learnings, drafts, whatever was touched last.

Step 4: Dig last session

ENCODED_PWD=$(pwd | sed 's|^/|-|; s|/|-|g')
PROJECT_BASE=$(ls -d "$HOME/.claude/projects/${ENCODED_PWD}" 2>/dev/null | head -1)
export PROJECT_DIRS="$PROJECT_BASE"
python3 ~/.claude/skills/dig/scripts/dig.py 1

Include in recap:

📡 Last session: HH:MM–HH:MM (Xm, N msgs) — [topic]

Need more? /dig 5 or /dig --timeline.

Total: 1 bash call + LLM analysis


QUICK MODE (/recap --quick)

Minimal, no content reads:

bun ~/.claude/skills/recap/recap.ts

Script outputs git status + focus state (~0.1s). Then LLM adds:

  • What's next? (2-3 options based on git state)

"What's next?" Rules

If you see...Suggest...
Handoff existsContinue from handoff
Untracked filesCommit them
Focus = completedPick from tracks or start fresh
Branch aheadPush or create PR
Streak activeKeep momentum going

Hard Rules

  1. ONE bash call — never multiple parallel calls (adds latency)
  2. No subagents — everything in main agent
  3. Ask, don't suggest — "What next?" not "You should..."


NOW MODE (/recap --now)

Mid-session awareness from AI memory — no file reading needed. Use when user asks "where are we", "now", "status", "what are we doing".

AI reconstructs session timeline from conversation memory:

## This Session

| Time | Duration | Topic | Jump |
|------|----------|-------|------|
| HH:MM | ~Xm | First topic | - |
| HH:MM | ~Xm | Second topic | spark |
| HH:MM | ongoing | **Now**: Current | complete |

**Noticed**:
- [Pattern - energy/mode]
- [Jump pattern: sparks vs escapes vs completions]

**Status**:
- Energy: [level]
- Loose ends: [unfinished]
- Parked: [topics we'll return to]

**My Read**: [1-2 sentences]

---
**Next?**

Jump Types

IconTypeMeaning
sparkNew idea, exciting
completeFinished, moving on
returnComing back to parked
parkIntentional pause
escapeAvoiding difficulty

Healthy session: Mostly sparks and completes Warning sign: Too many escapes = avoidance pattern


NOW DEEP MODE (/recap --now deep)

Same as --now but adds bigger picture context.

Step 1: Gather (parallel)

1. Current session from AI memory
2. Read latest handoff: ls -t ψ/inbox/handoff/*.md | head -1
3. Git status: git status --short
4. Tracks: cat ψ/inbox/tracks/INDEX.md 2>/dev/null

Step 2: Output

Everything from --now, plus:

### Bigger Picture

**Came from**: [Last session/handoff summary - 1 line]
**Working on**: [Current thread/goal]
**Thread**: [Larger pattern this connects to]

### Pending

| Priority | Item | Source |
|----------|------|--------|
| Now | [Current task] | This session |
| Soon | [Next up] | Tracks/discussion |
| Later | [Backlog] | GitHub/tracks |

### Connections

**Pattern**: [What pattern emerged]
**Learning**: [Key insight from session]
**Oracle**: [Related past pattern, if any]

**My Read**: [2-3 sentences - deeper reflection]

**Next action?**

Session Context

The recap scripts (recap.ts and recap-rich.ts) auto-detect and display the current session:

📡 Session: 74c32f34 | oracle-skills-cli | 2h 15m

Detection: scans ~/.claude/projects/[encoded-pwd]/*.jsonl for the most recent session file, extracts short ID and elapsed time from first timestamp.

If session detection fails, skip silently — it's informational only.


Demographics Context

If CLAUDE.md contains demographics from /awaken wizard v2, include in recap output:

**Oracle**: [name] ([pronouns]) | **Human**: [name] ([pronouns]) | **Language**: [pref]

Add this as one line after the timestamp in any mode. If demographics not present, skip silently.

Look for fields in CLAUDE.md: Human Pronouns, Oracle Pronouns, Language, Team, Experience.


Philosophy: Detect reality. Surface blockers. Offer direction. *"Not just the clock. The map."*

Version: 8.0 (Merged where-we-are into --now mode) Updated: 2026-02-10

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.64%
按下载量换算77

Claude

30.03%
按下载量换算65

Cursor

19.88%
按下载量换算43

Gemini CLI

10.42%
按下载量换算23

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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