Context Engineering Review
mohitagw15856/pm-claude-skills
Review what an LLM feature or agent actually puts in its context window — and find what's bloating, missing, or fighting itself.
Guidance for improving the Windmill AI chat (copilot), especially global mode — tools, prompts, and context-window discipline.
Install AI Chat
$ npx skills add windmill-labs/windmill --skill ai-chat -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install windmill-labs/windmill ai-chat --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/windmill-labs/windmill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/ai-chat .claude/skills/ai-chat && rm -rf skills-srcUse ~/.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/
Install the "ai-chat" agent skill from https://github.com/windmill-labs/windmill/tree/main/.agents/skills/ai-chat into .claude/skills/ai-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-chat", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/windmill-labs/windmill/tree/main/.agents/skills/ai-chatType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add windmill-labs/windmill --skill ai-chat -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install windmill-labs/windmill ai-chat --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/windmill-labs/windmill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/ai-chat .agents/skills/ai-chat && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-chat" agent skill from https://github.com/windmill-labs/windmill/tree/main/.agents/skills/ai-chat into .agents/skills/ai-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-chat", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add windmill-labs/windmill --skill ai-chat -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install windmill-labs/windmill ai-chat --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/windmill-labs/windmill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/ai-chat .cursor/skills/ai-chat && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-chat" agent skill from https://github.com/windmill-labs/windmill/tree/main/.agents/skills/ai-chat into .cursor/skills/ai-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-chat", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/windmill-labs/windmill.git --path .agents/skills/ai-chat--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add windmill-labs/windmill --skill ai-chat -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install windmill-labs/windmill ai-chat --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/windmill-labs/windmill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/ai-chat .gemini/skills/ai-chat && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-chat" agent skill from https://github.com/windmill-labs/windmill/tree/main/.agents/skills/ai-chat into .gemini/skills/ai-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-chat", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install windmill-labs/windmill ai-chatInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add windmill-labs/windmill --skill ai-chat -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/windmill-labs/windmill.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/ai-chat .github/skills/ai-chat && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-chat" agent skill from https://github.com/windmill-labs/windmill/tree/main/.agents/skills/ai-chat into .github/skills/ai-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-chat", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add windmill-labs/windmill --skill ai-chat -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install windmill-labs/windmill ai-chat --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/windmill-labs/windmill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/ai-chat .opencode/skills/ai-chat && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-chat" agent skill from https://github.com/windmill-labs/windmill/tree/main/.agents/skills/ai-chat into .opencode/skills/ai-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-chat", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ai-chat- GitHub stars
- 18k
- Token cost
- ~672 tokens
- SKILL.md length
- 335 words
- Files
- 1
- Skills in repo
- 42
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Guidance for improving the Windmill AI chat (copilot), especially global mode — tools, prompts, and context-window discipline.
- Editing chat tools
- SKILL.md covers Always benchmark before and…, Where guidance goes, Measure the window first, and… and Context discipline, plus 1 more section
- Calls python
- Tool-result shapes under frontend/src/lib/components/copilot/chat
What it does
AI Chat is an agent skill from windmill-labs/windmill. Guidance for improving the Windmill AI chat (copilot), especially global mode — tools, prompts, and context-window discipline. Use when editing chat tools, system prompts, or tool-result shapes under frontend/src/lib/components/copilot/chat, or when changing how the chat manages its context window.
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.
It sits in AI & LLM Engineering, covering Prompt engineering and Context engineering. The repository describes itself as: Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to…
When your agent uses it
- Editing chat tools
- Tool-result shapes under frontend/src/lib/components/copilot/chat
- Changing how the chat manages its context window
Example prompts
- “/ai-chat”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit f40eea2. 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:
python
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
AI Chat loads about 672 tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 335 words of instructions outside code blocks.
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 335 words (~672 tokens).
“No context or behavior change ships without an ai_evals A/B on the affected mode. Add or adjust cases for exactly what you changed — see the ai-evals skill for authoring and the full run reference.”
- name
- ai-chat
Files
Just SKILL.md in .agents/skills/ai-chat of windmill-labs/windmill.
Open the folder on GitHubat commit f40eea2
Compare with similar skills
AI Chat 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Chat this skillwindmill-labs/windmill | 18k | — | ~672 | Automated safety check: Pass | Custom licence | |
| Context Engineering Reviewmohitagw15856/pm-claude-skills | 1.4k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Agents Best PracticesDenisSergeevitch/agents-best-practices | 2.4k | — | ~7.4k | Automated safety check: Pass | MIT | |
| Agent Experiencesingula-ai/alego | 109 | 1 repos | ~531 | Automated safety check: Pass | MIT | |
| Context Engineeringclosedloop-ai/claude-plugins | 122 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Codex Fable5baskduf/FableCodex | 437 | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 |
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Agent Experience
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A skill your agent uses when writing or changing a model-facing tool definition (name, description, parameter schema, or its system-prompt section), and when designing skills, context loading, or…
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Related
Categories
Questions about AI Chat
What does AI Chat do?
Guidance for improving the Windmill AI chat (copilot), especially global mode — tools, prompts, and context-window discipline. AI Chat is an agent skill from windmill-labs/windmill. Guidance for improving the Windmill AI chat (copilot), especially global mode — tools, prompts, and context-window discipline.
When should I use AI Chat?
AI Chat fits situations like: editing chat tools; tool-result shapes under frontend/src/lib/components/copilot/chat; changing how the chat manages its context window.
How do I install AI Chat in Claude Code?
Run `npx skills add windmill-labs/windmill --skill ai-chat -a claude-code`. Or copy the skill folder (.agents/skills/ai-chat in windmill-labs/windmill) into .claude/skills/ai-chat in your project. Claude Code loads it when a task matches its description.
How do I install AI Chat in Codex?
Run `npx skills add windmill-labs/windmill --skill ai-chat -a codex`. Or copy the skill folder (.agents/skills/ai-chat in windmill-labs/windmill) into .agents/skills/ai-chat in your project. Codex loads it when a task matches its description.
Can I use AI Chat 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 windmill-labs/windmill --skill ai-chat -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-chat, .gemini/skills/ai-chat, .github/skills/ai-chat and .opencode/skills/ai-chat in your project.
What does AI Chat need to run?
Going by SKILL.md and its folder, AI Chat needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does AI Chat 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 AI Chat 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 AI Chat use?
AI Chat has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does AI Chat use?
About 672 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 AI Chat?
Skills that share tags, products or a category with AI Chat: Context Engineering Review (mohitagw15856/pm-claude-skills, 1.4k stars), Agents Best Practices (DenisSergeevitch/agents-best-practices, 2.4k stars), Agent Experience (singula-ai/alego, 109 stars) and Context Engineering (closedloop-ai/claude-plugins, 122 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Chat?
windmill-labs (a GitHub organization) maintains it in windmill-labs/windmill, which has 18,128 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on October 8, 2026.
Source: windmill-labs/windmill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.