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.
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…
Install Agent Experience
$ npx skills add singula-ai/alego --skill agent-experience -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install singula-ai/alego agent-experience --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/singula-ai/alego.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-experience .claude/skills/agent-experience && 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 "agent-experience" agent skill from https://github.com/singula-ai/alego/tree/main/.agents/skills/agent-experience into .claude/skills/agent-experience/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-experience", 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/singula-ai/alego/tree/main/.agents/skills/agent-experienceType 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 singula-ai/alego --skill agent-experience -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install singula-ai/alego agent-experience --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/singula-ai/alego.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/agent-experience .agents/skills/agent-experience && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-experience" agent skill from https://github.com/singula-ai/alego/tree/main/.agents/skills/agent-experience into .agents/skills/agent-experience/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-experience", 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 singula-ai/alego --skill agent-experience -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install singula-ai/alego agent-experience --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/singula-ai/alego.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/agent-experience .cursor/skills/agent-experience && 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 "agent-experience" agent skill from https://github.com/singula-ai/alego/tree/main/.agents/skills/agent-experience into .cursor/skills/agent-experience/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-experience", 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/singula-ai/alego.git --path .agents/skills/agent-experience--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 singula-ai/alego --skill agent-experience -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install singula-ai/alego agent-experience --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/singula-ai/alego.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/agent-experience .gemini/skills/agent-experience && 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 "agent-experience" agent skill from https://github.com/singula-ai/alego/tree/main/.agents/skills/agent-experience into .gemini/skills/agent-experience/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-experience", 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 singula-ai/alego agent-experienceInstalls 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 singula-ai/alego --skill agent-experience -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/singula-ai/alego.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/agent-experience .github/skills/agent-experience && 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 "agent-experience" agent skill from https://github.com/singula-ai/alego/tree/main/.agents/skills/agent-experience into .github/skills/agent-experience/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-experience", 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 singula-ai/alego --skill agent-experience -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install singula-ai/alego agent-experience --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/singula-ai/alego.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/agent-experience .opencode/skills/agent-experience && 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 "agent-experience" agent skill from https://github.com/singula-ai/alego/tree/main/.agents/skills/agent-experience into .opencode/skills/agent-experience/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-experience", 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
agent-experience- GitHub stars
- 109
- Used in
- 1 other repo
- Token cost
- ~531 tokens
- SKILL.md length
- 253 words
- Files
- 1
- Skills in repo
- 20
- Repo updated
- First seen
- Licence
- MIT
At a glance
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…
- Changing a model-facing tool definition (name
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Parameter schema
- Its system-prompt section)
What it does
Agent Experience is an agent skill from singula-ai/alego. Use 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 multi-step workflows, to make information discoverable and use context efficiently.
Its SKILL.md is about 530 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 Structured output and tool calling, Prompt engineering and Context engineering. The repository describes itself as: Build AI Agents like playing LEGOs. Everything is a Plugin. The licence is MIT.
When your agent uses it
- Changing a model-facing tool definition (name
- Parameter schema
- Its system-prompt section)
- When designing skills
Example prompts
- “/agent-experience”
What it can do on your machine
Read from SKILL.md and the folder at commit a79fe9a. 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
Agent Experience loads about 531 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 253 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
The full file from singula-ai/alego at commit a79fe9a, republished under its MIT licence (© singula-ai). 253 words, ~531 tokens.
Download SKILL.mdSave it as
.claude/skills/agent-experience/SKILL.md (or your agent's skills folder).- name
- agent-experience
- description
- Use 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 multi-step workflows, to make information discoverable and use context efficiently.
- metadata.date
- 2026-09-11
- Start with minimal context: expose purpose, available actions, and constraints first; load detailed instructions when needed.
- Make discovery explicit: every deferred resource needs a clear description and a reliable way to retrieve it.
- Keep critical constraints visible: permissions, destructive effects, and required validation should appear before the relevant action.
- Prefer bounded outputs: return concise results with identifiers or paths for retrieving details; avoid dumping entire logs or documents.
- Use locality: include a bounded amount of likely needed adjacent context with an operation’s result. For example, deliver a thread reply with a few preceding messages. Mark omissions and truncation explicitly, and provide a way to retrieve more.
- Evaluate total work: saving context is useful only if it does not cause more searches, repeated reads, or mistakes.
Tool definitions
- Delete obvious constraints. Omit rules the model learns from the call result, such as a missing file failing to read or a failed send not being delivered.
- Describe behavior, not implementation. State what the tool does and returns; omit internal mechanisms, output markers the model sees in results, and enforcement details.
- Put parameter rules on the parameter. Defaults, ranges, pairing, and when-to-set rules belong in that parameter's description or schema; a description that varies with configuration usually means the varying part belongs to a parameter.
- Say each fact once. Do not repeat the tool definition in its system-prompt section, a parameter description in the tool description, or one tool's rules in another tool.
- Measure the change. Compare first-turn prompt tokens before and after a tool-definition change.
© singula-ai, 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 .agents/skills/agent-experience of singula-ai/alego.
Open the folder on GitHubat commit a79fe9a
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in singula-ai/alego, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Agent Experience 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 |
|---|---|---|---|---|---|---|
| Agent Experience this skillsingula-ai/alego | 109 | 1 repos | ~531 | Automated safety check: Pass | MIT | |
| Context Engineering Reviewmohitagw15856/pm-claude-skills | 1.4k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Prompt Engineering Patternswshobson/agents | 40k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Agent Prompt Quality Barmastra-ai/mastra | 29k | — | ~2k | Automated safety check: Pass | Custom licence | |
| Kayba Stage 2 Domain Contextkayba-ai/agentic-context-engine | 2.6k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Lintlanghermes-labs-ai/lintlang | 138 | — | ~719 | Automated safety check: Pass | Apache-2.0 |
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Universal quality bar and final audit rubric for any agent system prompt.
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Gather domain context about the repository and agent — system prompt, tool definitions, domain docs, and behavior patterns from traces.
Lintlang
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Lintlang Audit
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Audit a named AI agent config, system prompt, tool definition, or instruction file (YAML, JSON, Markdown, text, or Python) with the released LintLang CLI in GitHub Copilot CLI.
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Related
Categories
Questions about Agent Experience
What does Agent Experience do?
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…. Agent Experience is an agent skill from singula-ai/alego. Use 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 multi-step workflows, to make information discoverable and use context efficiently.
When should I use Agent Experience?
Agent Experience fits situations like: changing a model-facing tool definition (name; parameter schema; its system-prompt section); when designing skills.
How do I install Agent Experience in Claude Code?
Run `npx skills add singula-ai/alego --skill agent-experience -a claude-code`. Or copy the skill folder (.agents/skills/agent-experience in singula-ai/alego) into .claude/skills/agent-experience in your project. Claude Code loads it when a task matches its description.
How do I install Agent Experience in Codex?
Run `npx skills add singula-ai/alego --skill agent-experience -a codex`. Or copy the skill folder (.agents/skills/agent-experience in singula-ai/alego) into .agents/skills/agent-experience in your project. Codex loads it when a task matches its description.
Can I use Agent Experience 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 singula-ai/alego --skill agent-experience -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-experience, .gemini/skills/agent-experience, .github/skills/agent-experience and .opencode/skills/agent-experience in your project.
What does Agent Experience need to run?
SKILL.md names no scripts, command-line tools or credentials: Agent Experience is instructions for the agent only.
Does Agent Experience 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 Agent Experience 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 Agent Experience use?
Agent Experience 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 Agent Experience use?
About 531 tokens (SKILL.md is roughly 2.1k 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 Agent Experience?
Skills that share tags, products or a category with Agent Experience: Context Engineering Review (mohitagw15856/pm-claude-skills, 1.4k stars), Prompt Engineering Patterns (wshobson/agents, 40k stars), Agent Prompt Quality Bar (mastra-ai/mastra, 29k stars) and Kayba Stage 2 Domain Context (kayba-ai/agentic-context-engine, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agent Experience?
singula-ai (a GitHub organization) maintains it in singula-ai/alego, which has 109 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 28, 2026.
Source: singula-ai/alego on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.