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Agent skill

Structured Progress Update

by aiming-lab in aiming-lab/MetaClaw

A skill your agent uses when summarizing progress on an ongoing project or multi-step task.

MITAuto-check passedAI & LLM Engineering

Install Structured Progress Update

skills CLI
$ npx skills add aiming-lab/MetaClaw --skill structured-progress-update -a claude-code

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

GitHub CLI
$ gh skill install aiming-lab/MetaClaw structured-progress-update --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/aiming-lab/MetaClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/memory_data/skills/structured-progress-update .claude/skills/structured-progress-update && 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
structured-progress-update
GitHub stars
3.5k
Token cost
~206 tokens
SKILL.md length
75 words
Files
1
Skills in repo
36
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when summarizing progress on an ongoing project or multi-step task.

  • Summarizing progress on an ongoing project
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Multi-step task

What it does

Structured Progress Update is an agent skill from aiming-lab/MetaClaw. Use this skill when summarizing progress on an ongoing project or multi-step task. Give a clear, scannable status report whenever asked for an update or at the end of a work session.

Its SKILL.md is about 210 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 AI & LLM Engineering. The repository describes itself as: 🦞 Just talk to your agent — it learns and EVOLVES 🧬. The licence is MIT.

When your agent uses it

  • Summarizing progress on an ongoing project
  • Multi-step task

Example prompts

  • “/structured-progress-update”

What it can do on your machine

Read from SKILL.md and the folder at commit 922caf3. 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

Structured Progress Update loads about 206 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 75 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~206

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 aiming-lab/MetaClaw at commit 922caf3, republished under its MIT licence (© aiming-lab). 75 words, ~206 tokens.

Download SKILL.mdSave it as .claude/skills/structured-progress-update/SKILL.md (or your agent's skills folder).
name
structured-progress-update
description
Use this skill when summarizing progress on an ongoing project or multi-step task. Give a clear, scannable status report whenever asked for an update or at the end of a work session.
category
productivity

Structured Progress Update

When reporting on work in progress, use a consistent structure:

Format:

  • Done: List completed items concisely.
  • In progress: What is currently being worked on and expected completion.
  • Blocked: Any items waiting on external input — state exactly what is needed.
  • Next: The immediately next action item.

Principles:

  • Be specific: Completed API integration for /users endpoint not worked on API.
  • Surface blockers proactively — don't wait to be asked.
  • Keep it scannable: bullets over paragraphs.

© aiming-lab, 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 memory_data/skills/structured-progress-update of aiming-lab/MetaClaw.

Open the folder on GitHubat commit 922caf3

Compare with similar skills

Structured Progress Update 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.

Structured Progress Update compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Structured Progress Update this skillaiming-lab/MetaClaw3.5k—~206Automated safety check: PassMIT
Agent BuildershareAI-lab/learn-claude-code78k6 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
Peft Fine TuningOrchestra-Research/AI-Research-SKILLs13k9 repos~3.1kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k9 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.8k13 repos~656Automated safety check: PassApache-2.0

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Categories

Questions about Structured Progress Update

What does Structured Progress Update do?

A skill your agent uses when summarizing progress on an ongoing project or multi-step task. Structured Progress Update is an agent skill from aiming-lab/MetaClaw. Use this skill when summarizing progress on an ongoing project or multi-step task.

When should I use Structured Progress Update?

Structured Progress Update fits situations like: summarizing progress on an ongoing project; multi-step task.

How do I install Structured Progress Update in Claude Code?

Run `npx skills add aiming-lab/MetaClaw --skill structured-progress-update -a claude-code`. Or copy the skill folder (memory_data/skills/structured-progress-update in aiming-lab/MetaClaw) into .claude/skills/structured-progress-update in your project. Claude Code loads it when a task matches its description.

How do I install Structured Progress Update in Codex?

Run `npx skills add aiming-lab/MetaClaw --skill structured-progress-update -a codex`. Or copy the skill folder (memory_data/skills/structured-progress-update in aiming-lab/MetaClaw) into .agents/skills/structured-progress-update in your project. Codex loads it when a task matches its description.

Can I use Structured Progress Update 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 aiming-lab/MetaClaw --skill structured-progress-update -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/structured-progress-update, .gemini/skills/structured-progress-update, .github/skills/structured-progress-update and .opencode/skills/structured-progress-update in your project.

What does Structured Progress Update need to run?

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

Does Structured Progress Update 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 Structured Progress Update 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 Structured Progress Update use?

Structured Progress Update 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 Structured Progress Update use?

About 206 tokens (SKILL.md is roughly 824 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 Structured Progress Update?

Skills that share tags, products or a category with Structured Progress Update: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Structured Progress Update?

aiming-lab (a GitHub organization) maintains it in aiming-lab/MetaClaw, which has 3,459 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on June 7, 2026.

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