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Agent skill

Recap

by sharpdeveye in sharpdeveye/maestro

Quick summary of the last session — commands run, files changed, and what to do next.

MITAuto-check passedMobile

Install Recap

skills CLI
$ npx skills add sharpdeveye/maestro --skill recap -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sharpdeveye/maestro recap --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/skills/recap .claude/skills/recap && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
recap
GitHub stars
592
Token cost
~591 tokens
SKILL.md length
240 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
MIT

At a glance

Quick summary of the last session — commands run, files changed, and what to do next.

  • Works in 2 steps: .maestro/sessions/ — read the most… → .maestro/decisions.jsonl — read the last…
  • Mobile work in your project
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Recap is an agent skill from sharpdeveye/maestro. Quick summary of the last session — commands run, files changed, and what to do next.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Mobile. The repository describes itself as: Workflow fluency for AI coding agents. 1 core skill · 25 commands · 7 domain references · memory layer · audit trail — works across Cursor, Claude Code, Gemini CLI, Copilot, and… The licence is MIT.

When your agent uses it

  • Mobile work in your project

Example prompts

  • “/recap”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. .maestro/sessions/ — read the most recent session file (by filename date)
  2. .maestro/decisions.jsonl — read the last 5 decisions

What it can do on your machine

Read from SKILL.md and the folder at commit 00f9115. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Recap loads about 591 tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 240 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~591

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sharpdeveye/maestro at commit 00f9115, republished under its MIT licence (© sharpdeveye). 240 words, ~591 tokens.

Download SKILL.mdSave it as .claude/skills/recap/SKILL.md (or your agent's skills folder).
name
recap
description
Quick summary of the last session — commands run, files changed, and what to do next.
argument-hint
[optional: session file]
category
utility
version
2.0.0
user-invocable
true

MANDATORY PREPARATION

Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first.

Get back up to speed fast. Recap reads the most recent session file and recent decisions to tell you where you left off and what to do next.

Data Sources
  1. .maestro/sessions/ — read the most recent session file (by filename date)
  2. .maestro/decisions.jsonl — read the last 5 decisions

If no session files exist, read the last 10 decisions and summarize those instead.

If no data exists at all, respond: "No session history found. Run /capture at the end of your next session to start tracking."

Output Format
text
┌─────────────────────────────────────┐
│         LAST SESSION RECAP          │
├─────────────────────────────────────┤
│ Date: YYYY-MM-DD                    │
│ Commands: /diagnose → /fortify (2)  │
│ Files: 3 changed, 1 created        │
│ Outcome: Completed                  │
├─────────────────────────────────────┤
│ PICK UP HERE:                       │
│ 1. Run /guard — rate limiting       │
│ 2. Run /evaluate — adversarial tests│
└─────────────────────────────────────┘
Recap Rules
  • Be concise — this is a 30-second read, not a report
  • Lead with the "PICK UP HERE" section — that's what the user needs
  • If the session ended with open issues, highlight them
  • Reference specific files and commands, not vague summaries
Recap Checklist
  • Most recent session identified
  • Commands and outcomes summarized in one line each
  • "Pick up here" section has specific, actionable next steps
  • Open issues from last session surfaced

After recapping, run the first command listed in "Pick Up Here" to continue where you left off.

NEVER:

  • Dump the entire session file — summarize it
  • Recap without checking decisions.jsonl for recent activity
  • Give vague next steps ("continue working") — be specific
  • Assume context from the current conversation — only use persisted data

© sharpdeveye, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in source/skills/recap of sharpdeveye/maestro.

Open the folder on GitHubat commit 00f9115

Compare with similar skills

Recap next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Recap compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Recap this skillsharpdeveye/maestro592—~591Automated safety check: PassMIT
React Native Best Practicesvercel-labs/openreview1.7k17 repos~1.1kAutomated safety check: PassMIT
Swiftui Protwostraws/SwiftUI-Agent-Skill5.1k2 repos~1.5kAutomated safety check: PassMIT
Kortix Brandkortix-ai/suna20k—~4kAutomated safety check: PassCustom licence
Ip As LogoKartikLabhshetwar/better-shot2.4k1 repos~4.3kAutomated safety check: PassMIT
Compose Multiplatform Patternsmonta-app/ocpp-emulator1805 repos~2kAutomated safety check: PassApache-2.0

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  • Diagnose

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  • Extract Pattern

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Categories

Questions about Recap

What does Recap do?

Quick summary of the last session — commands run, files changed, and what to do next. Recap is an agent skill from sharpdeveye/maestro. Quick summary of the last session — commands run, files changed, and what to do next.

When should I use Recap?

Recap fits situations like: mobile work in your project.

How do I install Recap in Claude Code?

Run `npx skills add sharpdeveye/maestro --skill recap -a claude-code`. Or copy the skill folder (source/skills/recap in sharpdeveye/maestro) into .claude/skills/recap in your project. Claude Code loads it when a task matches its description.

How do I install Recap in Codex?

Run `npx skills add sharpdeveye/maestro --skill recap -a codex`. Or copy the skill folder (source/skills/recap in sharpdeveye/maestro) into .agents/skills/recap in your project. Codex loads it when a task matches its description.

Can I use Recap in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sharpdeveye/maestro --skill recap -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/recap, .gemini/skills/recap, .github/skills/recap and .opencode/skills/recap in your project.

What does Recap need to run?

SKILL.md names no scripts, command-line tools or credentials: Recap is instructions for the agent only.

Does Recap access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Recap safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Recap use?

Recap is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Recap use?

About 591 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Recap?

Skills that share tags, products or a category with Recap: React Native Best Practices (vercel-labs/openreview, 1.7k stars), Swiftui Pro (twostraws/SwiftUI-Agent-Skill, 5.1k stars), Kortix Brand (kortix-ai/suna, 20k stars) and Ip As Logo (KartikLabhshetwar/better-shot, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Recap?

sharpdeveye (a GitHub user) maintains it in sharpdeveye/maestro, which has 592 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on April 29, 2026.

Source: sharpdeveye/maestro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.