MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Structured format for capturing high-quality learnings during ClosedLoop runs
$ npx skills add closedloop-ai/claude-plugins --skill learning-quality -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install closedloop-ai/claude-plugins learning-quality --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/closedloop-ai/claude-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/self-learning/skills/learning-quality .claude/skills/learning-quality && 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 "learning-quality" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/self-learning/skills/learning-quality into .claude/skills/learning-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-quality", 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/closedloop-ai/claude-plugins/tree/main/plugins/self-learning/skills/learning-qualityType 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 closedloop-ai/claude-plugins --skill learning-quality -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install closedloop-ai/claude-plugins learning-quality --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/closedloop-ai/claude-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/self-learning/skills/learning-quality .agents/skills/learning-quality && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "learning-quality" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/self-learning/skills/learning-quality into .agents/skills/learning-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-quality", 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 closedloop-ai/claude-plugins --skill learning-quality -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install closedloop-ai/claude-plugins learning-quality --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/closedloop-ai/claude-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/self-learning/skills/learning-quality .cursor/skills/learning-quality && 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 "learning-quality" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/self-learning/skills/learning-quality into .cursor/skills/learning-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-quality", 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/closedloop-ai/claude-plugins.git --path plugins/self-learning/skills/learning-quality--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 closedloop-ai/claude-plugins --skill learning-quality -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install closedloop-ai/claude-plugins learning-quality --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/closedloop-ai/claude-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/self-learning/skills/learning-quality .gemini/skills/learning-quality && 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 "learning-quality" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/self-learning/skills/learning-quality into .gemini/skills/learning-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-quality", 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 closedloop-ai/claude-plugins learning-qualityInstalls 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 closedloop-ai/claude-plugins --skill learning-quality -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/closedloop-ai/claude-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/self-learning/skills/learning-quality .github/skills/learning-quality && 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 "learning-quality" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/self-learning/skills/learning-quality into .github/skills/learning-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-quality", 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 closedloop-ai/claude-plugins --skill learning-quality -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install closedloop-ai/claude-plugins learning-quality --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/closedloop-ai/claude-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/self-learning/skills/learning-quality .opencode/skills/learning-quality && 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 "learning-quality" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/self-learning/skills/learning-quality into .opencode/skills/learning-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-quality", 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.
learning-qualityStructured format for capturing high-quality learnings during ClosedLoop runs
Learning Quality is an agent skill from closedloop-ai/claude-plugins. Structured format for capturing high-quality learnings during ClosedLoop runs
Its SKILL.md is about 1.7k 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 Agent Workflows. The repository describes itself as: Open-source Claude Code plugins for multi-agent software delivery. Plan-first SDLC workflow, code review, LLM quality judges, and self-learning — grounded in your codebase… The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 476b54c. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pnpmFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Learning Quality loads about 1.7k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 629 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.
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.
The full file from closedloop-ai/claude-plugins at commit 476b54c, republished under its Apache-2.0 licence (© closedloop-ai). 629 words, ~1,712 tokens.
.claude/skills/learning-quality/SKILL.md (or your agent's skills folder).This skill defines when and how to capture learnings during ClosedLoop runs.
Before writing a learning, run through this decision tree in order:
1. Did I make a mistake and correct it, or discover something non-obvious?
NO → Don't capture (no learnings event)
YES → Continue
2. Is it a config value? (specific URL, file path, project command, type name)
YES → Write to CLAUDE.md (project scope), not org-patterns
NO → Continue
3. Is it tied to a single feature/bug with no generalizable principle?
YES → SKIP
NO → Continue
4. Will it still be true in 6 months?
NO → SKIP (or generalize the principle)
YES → Continue
5. Does it already exist in org-patterns.toon or CLAUDE.md?
YES → SKIP (or note "Supersedes: [old pattern]" if correcting)
NO → CAPTURE ITNote: Even "basic" knowledge is worth capturing if you actually made that mistake. These learnings exist because LLM agents struggle with certain patterns that humans might consider obvious. The goal is to help future agent runs avoid the same mistakes.
SKIP if ANY of these apply:
| Criterion | Example | Why |
|---|---|---|
| Specific URL/path/config | "Use https://github.com/org/repo" | Config, not principle → CLAUDE.md |
| Project-specific names | "Use MyProjectType not OtherType" | Belongs in CLAUDE.md |
| One-off bug fix | "Field X was null in row 123" | Not reusable |
| Already captured | (check pending/, CLAUDE.md, org-patterns.toon) | Avoid duplicates |
Note: Even patterns that seem like "basic knowledge" are worth capturing if you actually made that mistake. These learnings exist because LLM agents struggle with certain patterns. The goal is to help future agent runs avoid the same mistakes.
When you have a learning worth capturing:
| Scope | Destination | Heuristic |
|---|---|---|
| Project | CLAUDE.md | Mentions specific file paths, package names, or project-unique features |
| Global | org-patterns.toon | Applies to any project using the same language/framework/tool |
Extract the underlying principle, not the specific instance.
<examples>
<example type="generalize">
<specific>GitHubActionStatus uses SUCCESS not COMPLETED</specific>
<generalized>When using Prisma enums, verify valid values in schema.prisma - don't assume names</generalized>
</example>
<example type="generalize">
<specific>adm-zip is already installed for webhooks</specific>
<generalized>Check existing dependencies before adding new packages for common functionality</generalized>
</example>
<example type="skip">
<specific>The workstream query checks parentId before title</specific>
<reason>Implementation detail with no generalizable principle</reason>
</example>
<example type="skip">
<specific>ARTIFACT_SECTIONS has ISSUE in two places</specific>
<reason>Specific bug, not a pattern</reason>
</example>
</examples>
Test: Would this help someone working on a different feature?
Formula: [When/Where] + [specific action] + [context]
<examples>
<example type="good" domain="planning">
PRD 'secure authentication' in this org means Auth0 + JWT + httpOnly refresh cookies
</example>
<example type="good" domain="implementation">
Always check for None before accessing .items() on optional dicts in FastAPI handlers
</example>
<example type="good" domain="testing">
E2E tests require API mocks via msw in tests/mocks/, never hit real endpoints
</example>
<example type="good" domain="verification">
Task 'add endpoint' is only VERIFIED if both route AND handler exist, not just route file
</example>
<example type="bad" reason="too vague">
Check for None
<fix>Missing: where? when? why?</fix>
</example>
<example type="bad" reason="not actionable">
Be careful with imports
</example>
<example type="bad" reason="common knowledge">
TypeScript catch blocks have type unknown in strict mode
<fix>Documented in TS handbook - skip</fix>
</example>
<example type="bad" reason="config not pattern">
Run `pnpm test` for validation
<fix>Project config → write to CLAUDE.md instead</fix>
</example>
<example type="bad" reason="too specific">
Templates should have type matching templateForType, not type: TEMPLATE
<fix>Feature-specific decision that may change - skip or generalize</fix>
</example>
</examples>
Before writing:
$CLOSEDLOOP_WORKDIR/.learnings/pending/ for learnings in this run~/.closedloop-ai/learnings/org-patterns.toonIf contradiction exists (existing says "do X", new says "don't do X"):
Output location:
$CLOSEDLOOP_WORKDIR/.learnings/pending/{agent-name}-$CLOSEDLOOP_AGENT_ID.jsonFormat:
{
"what_happened": "Brief description of what occurred",
"why": "Root cause or reason this matters",
"fix_applied": "What you did to resolve it (if applicable)",
"pattern_to_remember": "The actionable takeaway (minimum 20 chars)",
"applies_to": ["agent-name"],
"context": {
"file": "relative/path/to/file.ext",
"line": 42,
"function": "function_name"
}
}Use ["*"] for applies_to if the pattern applies to all agents.
If you completed work without learnings to capture:
{
"no_learnings": true,
"reason": "Task was straightforward with no new patterns discovered"
}This is valid—not every task produces learnings.
| Category | Examples |
|---|---|
| Common knowledge | TS strict mode, git basics, debugging 101 |
| Config values | URLs, file paths, project commands |
| Implementation details | Query order, field names, styling choices |
| Temporary | Bug workarounds, feature-specific decisions |
Mentions specific paths/packages/features? → Project (CLAUDE.md)
Applies to any project with same tech? → Global (org-patterns.toon)Your agent definition may reference a domain-specific learning prompt (e.g., prompts/plan-writer-learning.md). If so, read it before capturing learnings.
© closedloop-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/self-learning/skills/learning-quality of closedloop-ai/claude-plugins.
Open the folder on GitHubat commit 476b54c
Learning Quality 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 |
|---|---|---|---|---|---|---|
| Learning Quality this skillclosedloop-ai/claude-plugins | 122 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 296k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Claude Code Agent Developmentanthropics/claude-plugins-official | 38k | 8 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
farm-fe/farm
A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
anthropics/claude-plugins-official
Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
closedloop-ai/claude-plugins
Run Codex to review a plan file and return structured feedback with a verdict.
closedloop-ai/claude-plugins
Check if critic reviews are still valid before re-running Phase 2.5 critics.
closedloop-ai/claude-plugins
Check if cross-repo coordinator results can be reused, avoiding redundant Sonnet agent launches.
closedloop-ai/claude-plugins
Check for a cached plan-evaluation.json result before launching the plan-evaluator agent.
closedloop-ai/claude-plugins
This skill should be used when needing to locate files within the Claude Code plugins cache directory (~/.claude/plugins/cache).
closedloop-ai/claude-plugins
Start a detached GitHub pull-request monitor that wakes the exact launching Codex Desktop or CLI root through the managed Codex App Server when review, CI, conflict, merge-queue, closure, readiness…
Categories
Structured format for capturing high-quality learnings during ClosedLoop runs. Learning Quality is an agent skill from closedloop-ai/claude-plugins.
Learning Quality fits situations like: agent Workflows work in your project.
Run `npx skills add closedloop-ai/claude-plugins --skill learning-quality -a claude-code`. Or copy the skill folder (plugins/self-learning/skills/learning-quality in closedloop-ai/claude-plugins) into .claude/skills/learning-quality in your project. Claude Code loads it when a task matches its description.
Run `npx skills add closedloop-ai/claude-plugins --skill learning-quality -a codex`. Or copy the skill folder (plugins/self-learning/skills/learning-quality in closedloop-ai/claude-plugins) into .agents/skills/learning-quality in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add closedloop-ai/claude-plugins --skill learning-quality -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learning-quality, .gemini/skills/learning-quality, .github/skills/learning-quality and .opencode/skills/learning-quality in your project.
Going by SKILL.md and its folder, Learning Quality needs the command-line tools its instructions call (pnpm).
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
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.
Learning Quality is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Learning Quality: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
closedloop-ai (a GitHub organization) maintains it in closedloop-ai/claude-plugins, which has 122 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 7, 2026.
Source: closedloop-ai/claude-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.