Agent skill

Wrap Up

by rohitg00 in rohitg00/pro-workflow

End-of-session ritual that audits changes, runs quality checks, captures learnings, and produces a session summary.

No licenceAuto-check passedAgent Workflows

Install Wrap Up

skills CLI
$ npx skills add rohitg00/pro-workflow --skill wrap-up -a claude-code

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

GitHub CLI
$ gh skill install rohitg00/pro-workflow wrap-up --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/rohitg00/pro-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/wrap-up .claude/skills/wrap-up && 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
wrap-up
GitHub stars
2.9k
Token cost
~394 tokens
SKILL.md length
158 words
Files
1
Skills in repo
41
Repo updated
First seen
Licence
None found

At a glance

End-of-session ritual that audits changes, runs quality checks, captures learnings, and produces a session summary.

  • Works in 5 steps: Changes Audit — What files were… → Quality Check — Run lint, typecheck, and… → Learning Capture — What mistakes were… → …
  • Done for the day
  • SKILL.md covers Trigger, Workflow, Commands and Learning Categories, plus 2 more sections
  • Calls npm and git

What it does

Wrap Up is an agent skill from rohitg00/pro-workflow. End-of-session ritual that audits changes, runs quality checks, captures learnings, and produces a session summary. Use when saying "wrap up", "done for the day", "finish coding", or ending a coding session.

Its SKILL.md is about 390 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 Agent Workflows, covering Session handoff. The repository describes itself as: Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context engineering, parallel worktrees, agent teams, and 17 battle-tested…

When your agent uses it

  • Done for the day
  • Ending a coding session

Example prompts

  • “wrap up”
  • “done for the day”
  • “finish coding”
  • “/wrap-up”

Workflow steps

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

  1. Changes Audit — What files were modified? Anything uncommitted? TODOs left in code?
  2. Quality Check — Run lint, typecheck, and tests. All passing? Any warnings?
  3. Learning Capture — What mistakes were made? What patterns worked well? Format as [LEARN] Category: Rule
  4. Next Session Context — What's the next logical task? Any blockers? Context to preserve?
  5. Summary — One paragraph: what was accomplished, current state, what's next.

What it can do on your machine

Read from SKILL.md and the folder at commit 86d5f27. 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

    Shell commands in SKILL.md call:

    • npm
    • git

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

  • Network

    No URLs in SKILL.md. Its commands use npm and git, which can reach the network depending on how they are called.

    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

Wrap Up loads about 394 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 158 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~394

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 158 words (~394 tokens).

“End your coding session with intention.”

— opening of SKILL.md by rohitg00
name
wrap-up
user-invocable
true

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/wrap-up of rohitg00/pro-workflow.

Open the folder on GitHubat commit 86d5f27

Compare with similar skills

Wrap Up 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.

Wrap Up compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wrap Up this skillrohitg00/pro-workflow2.9k—~394Automated safety check: PassNone
Orca CLIstablyai/orca88k2 repos~593Automated safety check: PassMIT
Beads Task Memorygastownhall/beads28k—~1.2kAutomated safety check: PassMIT
Session History Searchslopus/happy24k—~3.1kAutomated safety check: PassMIT
Paseo Agent Handoffgetpaseo/paseo20k1 repos~606Automated safety check: PassCustom licence
Memori Long-Term MemoryMemoriLabs/Memori17k—~2kAutomated safety check: NotesCustom licence

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Categories

Questions about Wrap Up

What does Wrap Up do?

End-of-session ritual that audits changes, runs quality checks, captures learnings, and produces a session summary. Wrap Up is an agent skill from rohitg00/pro-workflow. End-of-session ritual that audits changes, runs quality checks, captures learnings, and produces a session summary.

When should I use Wrap Up?

Wrap Up fits situations like: done for the day; ending a coding session.

How do I install Wrap Up in Claude Code?

Run `npx skills add rohitg00/pro-workflow --skill wrap-up -a claude-code`. Or copy the skill folder (skills/wrap-up in rohitg00/pro-workflow) into .claude/skills/wrap-up in your project. Claude Code loads it when a task matches its description.

How do I install Wrap Up in Codex?

Run `npx skills add rohitg00/pro-workflow --skill wrap-up -a codex`. Or copy the skill folder (skills/wrap-up in rohitg00/pro-workflow) into .agents/skills/wrap-up in your project. Codex loads it when a task matches its description.

Can I use Wrap Up 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 rohitg00/pro-workflow --skill wrap-up -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wrap-up, .gemini/skills/wrap-up, .github/skills/wrap-up and .opencode/skills/wrap-up in your project.

What does Wrap Up need to run?

Going by SKILL.md and its folder, Wrap Up needs the command-line tools its instructions call (npm and git).

Does Wrap Up access the network?

SKILL.md contains no URLs. Its commands use npm and git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Wrap Up 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 Wrap Up use?

No licence was found for Wrap Up or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Wrap Up use?

About 394 tokens (SKILL.md is roughly 1.6k 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 Wrap Up?

Skills that share tags, products or a category with Wrap Up: Orca CLI (stablyai/orca, 88k stars), Beads Task Memory (gastownhall/beads, 28k stars), Session History Search (slopus/happy, 24k stars) and Paseo Agent Handoff (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wrap Up?

rohitg00 (a GitHub user) maintains it in rohitg00/pro-workflow, which has 2,907 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on September 29, 2026.

Source: rohitg00/pro-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.