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Agent skill

Check In

by amd in amd/gaia

Run a short personal check-in that picks up where the last one left off, following up on what the user said they would do and recording what changed.

MITAuto-check passed

Install Check In

skills CLI
$ npx skills add amd/gaia --skill check-in -a claude-code

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

GitHub CLI
$ gh skill install amd/gaia check-in --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/amd/gaia.git skills-src && mkdir -p .claude/skills && cp -r skills-src/hub/skills/check-in .claude/skills/check-in && 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
check-in
GitHub stars
1.6k
Token cost
~668 tokens
SKILL.md length
334 words
Files
1
Skills in repo
44
Repo updated
First seen
Licence
MIT

At a glance

Run a short personal check-in that picks up where the last one left off, following up on what the user said they would do and recording what changed.

  • Works in 6 steps: Recall open commitments. → Recall recent context.… → Open with one concrete follow-up, not a… → …
  • The user says good morning
  • SKILL.md covers Procedure, Tone, Honest limits and Fork this
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Check In is an agent skill from amd/gaia. Run a short personal check-in that picks up where the last one left off, following up on what the user said they would do and recording what changed. Use when the user says good morning, asks for a check-in, or asks what they were working on.

Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Build AI agents for your PC. The licence is MIT.

When your agent uses it

  • The user says good morning
  • Asks for a check-in
  • Asks what they were working on

Example prompts

  • “/check-in”

Workflow steps

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

  1. Recall open commitments.
  2. Recall recent context. search_past_conversations(days=7, limit=10) for
  3. Open with one concrete follow-up, not a generic greeting
  4. Ask at most three questions. A check-in that turns into an interrogation
  5. Write back what changed.
  6. Close with one line on what you will ask about next time.

What it can do on your machine

Read from SKILL.md and the folder at commit 6c3bb5c. 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

Check In loads about 668 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 334 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~668

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 amd/gaia at commit 6c3bb5c, republished under its MIT licence (© amd). 334 words, ~668 tokens.

Download SKILL.mdSave it as .claude/skills/check-in/SKILL.md (or your agent's skills folder).
name
check-in
description
Run a short personal check-in that picks up where the last one left off, following up on what the user said they would do and recording what changed. Use when the user says good morning, asks for a check-in, or asks what they were working on.
license
MIT
version
1.0.0

Check In

A check-in is worth having only if it remembers the last one. This is the smallest skill in the pack that demonstrates the whole memory loop: recall commitments, ask about them, write back what you learn.

Procedure

  1. Recall open commitments. recall(category="reminder", limit=20) — the things the user said they would do and has not closed out. reminder is the category for todos; there is no task category, and passing one silently matches nothing.
  2. Recall recent context. search_past_conversations(days=7, limit=10) for what has actually been going on. Use it to make the greeting specific.
  3. Open with one concrete follow-up, not a generic greeting:

    Yesterday you said you'd finish the pricing deck. How did that go? If memory is empty, say so plainly and ask what they are working on — a fabricated callback is far worse than admitting a blank slate.

  4. Ask at most three questions. A check-in that turns into an interrogation stops getting answered.
  5. Write back what changed.
    • Done → update_memory(knowledge_id=..., content="... — completed <date>")
    • Still open → leave it, but note the new expected date
    • New → remember(fact="<commitment> by <date>", category="reminder", due_at="<ISO date>")
  6. Close with one line on what you will ask about next time.

Tone

Brief, specific, unsentimental. No performance of enthusiasm, no "you've got this". Track the work, not the mood — unless the user brings up the mood, in which case listen rather than advise.

Honest limits

  • The user starts this, not GAIA. A truly proactive daily check-in needs the scheduler to run skills on a cron, which is not wired yet (--skill is rejected when adding a schedule). Today this runs when invoked.
  • Everything here depends on memory being enabled. With memory off there is no check-in to speak of — say so instead of running an empty version.
  • Do not record anything the user marks private. If in doubt, ask before storing.

Fork this

Point it at a team instead of a person: recall commitments per owner in step 1 and produce a standup digest in step 6.

© amd, 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 hub/skills/check-in of amd/gaia.

Open the folder on GitHubat commit 6c3bb5c

Compare with similar skills

Check In 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.

Check In compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Check In this skillamd/gaia1.6k—~668Automated safety check: PassMIT
Shortsickn33/agentic-awesome-skills47k1 repos~281Automated safety check: PassMIT
Short Io AutomationComposioHQ/awesome-claude-skills77k3 repos~734Automated safety check: PassNone
Short Menu AutomationComposioHQ/awesome-claude-skills77k3 repos~742Automated safety check: PassNone
Dali Short Address Commissionersickn33/agentic-awesome-skills47k1 repos~2.9kAutomated safety check: PassMIT
Chatbox Pro Cherry-Pick Syncchatboxai/chatbox42k—~1.2kAutomated safety check: PassGPL-3.0

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Questions about Check In

What does Check In do?

Run a short personal check-in that picks up where the last one left off, following up on what the user said they would do and recording what changed. Check In is an agent skill from amd/gaia. Run a short personal check-in that picks up where the last one left off, following up on what the user said they would do and recording what changed.

When should I use Check In?

Check In fits situations like: the user says good morning; asks for a check-in; asks what they were working on.

How do I install Check In in Claude Code?

Run `npx skills add amd/gaia --skill check-in -a claude-code`. Or copy the skill folder (hub/skills/check-in in amd/gaia) into .claude/skills/check-in in your project. Claude Code loads it when a task matches its description.

How do I install Check In in Codex?

Run `npx skills add amd/gaia --skill check-in -a codex`. Or copy the skill folder (hub/skills/check-in in amd/gaia) into .agents/skills/check-in in your project. Codex loads it when a task matches its description.

Can I use Check In 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 amd/gaia --skill check-in -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/check-in, .gemini/skills/check-in, .github/skills/check-in and .opencode/skills/check-in in your project.

What does Check In need to run?

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

Does Check In 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 Check In 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 Check In use?

Check In is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Check In use?

About 668 tokens (SKILL.md is roughly 2.7k 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 Check In?

Skills that share tags, products or a category with Check In: Short (sickn33/agentic-awesome-skills, 47k stars), Short Io Automation (ComposioHQ/awesome-claude-skills, 77k stars), Short Menu Automation (ComposioHQ/awesome-claude-skills, 77k stars) and Dali Short Address Commissioner (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Check In?

amd (a GitHub organization) maintains it in amd/gaia, which has 1,580 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 6, 2026.

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