End of session. An agent skill from jdpolasky/ai-chief-of-staff.

MITAuto-check passedProductivity & Automation

Install Wrap

skills CLI
$ npx skills add jdpolasky/ai-chief-of-staff --skill wrap -a claude-code

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

GitHub CLI
$ gh skill install jdpolasky/ai-chief-of-staff wrap --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/jdpolasky/ai-chief-of-staff.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/wrap .claude/skills/wrap && 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
GitHub stars
104
Token cost
~887 tokens
SKILL.md length
468 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

End of session. An agent skill from jdpolasky/ai-chief-of-staff.

  • Works in 2 steps: Deterministic file work → Reflect and save
  • Productivity & Automation work in your project
  • SKILL.md covers Phase 1 — Deterministic file… and Phase 2 — Reflect and save
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Wrap is an agent skill from jdpolasky/ai-chief-of-staff. End of session. Reflects wins, updates Command Center, moves done tasks, writes to session log and memory.

Its SKILL.md is about 890 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 Productivity & Automation. It works with Obsidian. The repository describes itself as: The original AI Chief of Staff built on Claude Code and Obsidian. ADHD prosthetic, open to anyone. Superseded by chief-of-staff-2. The licence is MIT.

When your agent uses it

  • Productivity & Automation work in your project

Example prompts

  • “/wrap”

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Deterministic file work
  2. Reflect and save

What it can do on your machine

Read from SKILL.md and the folder at commit 832b784. 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

Wrap loads about 887 tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 468 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~887

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 jdpolasky/ai-chief-of-staff at commit 832b784, republished under its MIT licence (© jdpolasky). 468 words, ~887 tokens.

Download SKILL.mdSave it as .claude/skills/wrap/SKILL.md (or your agent's skills folder).
name
wrap
description
End of session. Reflects wins, updates Command Center, moves done tasks, writes to session log and memory.
user_invocable
true

End of session. Two phases.


Phase 1 — Deterministic file work

Do these first, in order. Don't narrate them.

1. Bump the Command Center

Read Command Center.md from the vault (path is in CLAUDE.md). Find the line **Last updated:** ... near the top and replace the date with today's date (YYYY-MM-DD). Don't change anything else in the file unless the user has asked you to.

2. Move checked tasks to Done

In To-Do.md, scan the four quadrants (Do Now, Schedule, Defer, Later) for any tasks marked - [x]. Move each one into the ## Done section at the bottom. Preserve the original wording. Add a date prefix in YYYY-MM-DD format if the task doesn't already carry one.

If no tasks were checked, skip this step silently.

3. Append a session log entry

Read _system/last_session.md to get the current session number from its frontmatter, then increment by 1 (the new value).

Append a block like this to _system/Session Log.md:

## Session N — YYYY-MM-DD

[Two to four sentences on what actually shipped this session. What changed in the world, not what was discussed.]

**Open threads:** [bullet list, or "none" if everything closed]

Use the new session number.

4. Overwrite hot context

Overwrite _system/hot.md with one paragraph (3-6 sentences) describing the current state at session close. This is deliberately low-fidelity. The next /start reads it to recover in-progress context quickly.

5. Overwrite last_session.md

Overwrite _system/last_session.md. Set the date: frontmatter to today and the session: frontmatter to the new session number. Body holds the recap paragraph and open-threads list. Same content as the Session Log entry, but as a standalone file the next /start reads first.

6. Append memory firings (if any fired)

If any memory file in .claude/memory/ actually shaped a response during this session, append one line per firing to _system/memory_firings.log:

YYYY-MM-DD | session_N | filename.md | one-line note about how it fired

If no memories fired (rare), skip this step.

Show full SKILL.md (197 more words)Show less
7. Audit counter

If the new session number is divisible by 7, flag at the end of the wrap output: "🔍 Audit due — run /audit when convenient."


Phase 2 — Reflect and save

Reflect wins

Name what was accomplished this session in a sentence or two. Don't let the user brush past progress. Use the moved-to-Done tasks as evidence if they exist.

Save to memory

Update existing files in .claude/memory/ rather than creating new ones. The four core files are user_profile.md, preferences.md, projects.md, and session_context.md. As the system grows, additional files follow the type-prefix convention (user_*.md, feedback_*.md, project_*.md, reference_*.md); see docs/memory.md for the full pattern.

For session_context.md specifically: prepend the new entry at the top with today's date. Then scan the file and remove any entries older than 7 days. Keep the file from growing unboundedly.

Check Waiting For

Did anything get sent, handed off, or committed to this session? If so, propose adding a row to the Waiting For table in To-Do.md. Ask before adding.

Suggest what to pick up next

One or two sentences. Frame as "queued up for next time," not "what you didn't finish."

Keep the whole Phase 2 section short. Prose, not bullet lists.

© jdpolasky, 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 .claude/skills/wrap of jdpolasky/ai-chief-of-staff.

Open the folder on GitHubat commit 832b784

Compare with similar skills

Wrap 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 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wrap this skilljdpolasky/ai-chief-of-staff104—~887Automated safety check: PassMIT
Daily Journalravila4/claude-adhd-skills157—~2.5kAutomated safety check: PassMIT
GranolaArtemXTech/claude-code-obsidian-starter224—~905Automated safety check: PassNone
Daily UpdateAr9av/obsidian-wiki3.5k—~2.4kAutomated safety check: NotesMIT
Summarize Meetingsharperreed/dotfiles334—~3.3kAutomated safety check: PassNone
Obsidian Helperaiskillstore/marketplace4301 repos~2kAutomated safety check: PassNone

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Works with

Questions about Wrap

What does Wrap do?

End of session. An agent skill from jdpolasky/ai-chief-of-staff. Wrap is an agent skill from jdpolasky/ai-chief-of-staff. End of session.

When should I use Wrap?

Wrap fits situations like: productivity & Automation work in your project.

How do I install Wrap in Claude Code?

Run `npx skills add jdpolasky/ai-chief-of-staff --skill wrap -a claude-code`. Or copy the skill folder (.claude/skills/wrap in jdpolasky/ai-chief-of-staff) into .claude/skills/wrap in your project. Claude Code loads it when a task matches its description.

How do I install Wrap in Codex?

Run `npx skills add jdpolasky/ai-chief-of-staff --skill wrap -a codex`. Or copy the skill folder (.claude/skills/wrap in jdpolasky/ai-chief-of-staff) into .agents/skills/wrap in your project. Codex loads it when a task matches its description.

Can I use Wrap 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 jdpolasky/ai-chief-of-staff --skill wrap -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, .gemini/skills/wrap, .github/skills/wrap and .opencode/skills/wrap in your project.

What does Wrap need to run?

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

Does Wrap 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 Wrap 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 use?

Wrap 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 Wrap use?

About 887 tokens (SKILL.md is roughly 3.5k 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?

Skills that share tags, products or a category with Wrap: Daily Journal (ravila4/claude-adhd-skills, 157 stars), Granola (ArtemXTech/claude-code-obsidian-starter, 224 stars), Daily Update (Ar9av/obsidian-wiki, 3.5k stars) and Summarize Meetings (harperreed/dotfiles, 334 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wrap?

jdpolasky (a GitHub user) maintains it in jdpolasky/ai-chief-of-staff, which has 104 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 2, 2026.

Source: jdpolasky/ai-chief-of-staff on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.