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.
ClosedLoop ticket + codebase intelligence over a shared remote instance.
$ npx skills add closedloop-ai/claude-plugins --skill closedloop-intel -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install closedloop-ai/claude-plugins closedloop-intel --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/code/skills/closedloop-intel .claude/skills/closedloop-intel && 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 "closedloop-intel" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/closedloop-intel into .claude/skills/closedloop-intel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "closedloop-intel", 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/code/skills/closedloop-intelType 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 closedloop-intel -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install closedloop-ai/claude-plugins closedloop-intel --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/code/skills/closedloop-intel .agents/skills/closedloop-intel && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "closedloop-intel" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/closedloop-intel into .agents/skills/closedloop-intel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "closedloop-intel", 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 closedloop-intel -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install closedloop-ai/claude-plugins closedloop-intel --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/code/skills/closedloop-intel .cursor/skills/closedloop-intel && 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 "closedloop-intel" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/closedloop-intel into .cursor/skills/closedloop-intel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "closedloop-intel", 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/code/skills/closedloop-intel--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 closedloop-intel -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install closedloop-ai/claude-plugins closedloop-intel --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/code/skills/closedloop-intel .gemini/skills/closedloop-intel && 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 "closedloop-intel" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/closedloop-intel into .gemini/skills/closedloop-intel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "closedloop-intel", 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 closedloop-intelInstalls 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 closedloop-intel -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/code/skills/closedloop-intel .github/skills/closedloop-intel && 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 "closedloop-intel" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/closedloop-intel into .github/skills/closedloop-intel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "closedloop-intel", 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 closedloop-intel -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 closedloop-intel --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/code/skills/closedloop-intel .opencode/skills/closedloop-intel && 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 "closedloop-intel" agent skill from https://github.com/closedloop-ai/claude-plugins/tree/main/plugins/code/skills/closedloop-intel into .opencode/skills/closedloop-intel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "closedloop-intel", 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.
closedloop-intelClosedLoop ticket + codebase intelligence over a shared remote instance.
Closedloop Intel is an agent skill from closedloop-ai/claude-plugins. ClosedLoop ticket + codebase intelligence over a shared remote instance. Use PROACTIVELY for questions about ticket scope overlap or duplicate work ("do these tickets overlap", "is someone already doing this", "is this a duplicate"), blast radius ("if I change this file or symbol, what breaks", "which tickets touch this code", "what depends on this module"), ticket lookup by keyword or slug, ticket lineage (which plan produced which issue, branches and PRs for a ticket), and aggregate rollups ("what shipped last…
Its SKILL.md is about 2k 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. It works with Model Context Protocol. 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.
Read from SKILL.md and the folder at commit 0e20ac0. 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:
claudecodexFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
CLGRAPH_MCP_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Closedloop Intel loads about 2k tokens when it runs. Until then it costs about 178 tokens; SKILL.md has 1,126 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 0e20ac0, republished under its Apache-2.0 licence (© closedloop-ai). 1,126 words, ~1,990 tokens.
.claude/skills/closedloop-intel/SKILL.md (or your agent's skills folder).This is the thin, tester-facing form of the closedloop-intel agent. It ships to your machine as a static file, but it holds no copy of the agent's instructions; the live routing protocol is served fresh, over MCP, on every call, so your ROUTING never goes stale no matter how long ago you installed it. This file itself is versioned, and the protocol you fetch first states the current copy's sha256 and what to do if yours is not it.
If the server is not connected, stop. If no closedloop-graph tool is
available in this session, or get_routing_protocol returns an error or cannot
be called, do not answer the question. Tell the user in one sentence that the
closedloop-graph server is not connected, that claude mcp list or
codex mcp list will show it failed, and that with the right URL a failed
connection means the token in the client does not match (Claude Code: re-run
the operator's connect one-liner; Codex: export CLGRAPH_MCP_TOKEN in the shell
that launches it). Never answer such a question from general knowledge without
saying so.
Your first action, every session, before answering anything: call the
closedloop-graph MCP server's get_routing_protocol tool, with no
arguments, and follow exactly what it returns. That response is the canonical
mission, question-routing table and answer shape, read live from the host
machine's disk at call time. Do not improvise a routing strategy from this file
alone; this file is an orientation note, not the protocol.
It answers with a SLICE, and the rest is one call away. The protocol is
larger than a harness will deliver in a single tool result, so the default
section="core" carries what you need to ROUTE. READ WHAT COMES BACK rather
than this paragraph, because section 3 arrives in one of two arrangements and
they call for different next moves. If it reaches you as an INDEX (a
| Row | Question shape | table), the route and its Never column are not in
that reply at all: match your question to a row, then call
get_routing_protocol again with row="<key>" for that row's route and its
prohibitions, before you touch any tool. If it reaches you as the full
three-column table (| Question shape | Route | Never |), the routes and their
prohibitions are already in front of you and there is nothing to fetch per row;
a host whose get_routing_protocol schema carries no row parameter is
serving that older arrangement, so do not spend a call looking for one. Ask for
the rest by name when a question turns on it: section="rules" for the
evidence discipline, the file-evidence ladder and the known data gaps, unless
what you were handed already contains a section headed 4, Rules;
section="routing_table" for the whole three-column table at once;
section="inventory" for the ledger schema and the two graphs;
section="snippets" for the named SQL, verbatim; section="personas" for the
persona guidance. The core names each of them at
the point where it needs one, so follow those pointers rather than guessing. Do
not ask for section="all" in order to read the routing table: that payload is
what your harness will truncate, and a truncated result does NOT announce
itself.
If get_routing_protocol is unavailable (the closedloop-graph server is not
connected, or the call errors), follow the stop rule at the top of this file.
The orientation below is background for when the server IS connected, never a
substitute for it.
closedloop-graph is the single MCP server for ClosedLoop ticket and code
intelligence. It has three tool families, and the routing question is always
which family a question belongs to:
tickets group, for scope overlap, shared
components, and why-do-these-relate questions. Seconds, not milliseconds.code_projects, code_symbols, code_callers,
code_tests_for, code_importers, code_snippet, code_grep,
code_architecture) answer about the source itself: definitions, callsites,
quoted source, which test files and which other files import a given source
file, and package or entry-point structure. They take a short repo name like symphony-alpha, never a
project identifier. Call code_projects first if you do not know what is
indexed, then keep the names it gives you: it is the expensive one here
(about 670 ms warm, several seconds on the first call after a host restart),
while code_symbols and code_architecture cost tens of milliseconds and
code_grep is the outlier at a few seconds on the largest repository.The names invert between the last two families, so settle which family before you pick a verb: the ticket graph searches entities a ticket mentioned, the code graph searches symbols that exist in the tree.
Every tool on the server is read-only. There are no write operations to reach for and none to avoid.
Cite ticket slugs and file paths in every answer. If something is not in the indexes, say so rather than guessing.
You get both halves of a blast radius, over the one registration: the ticket half (ledger queries, full-text search, ticket detail, aggregate rollups, ticket-graph semantic search) and the code half (symbols, callers, snippets, grep, architecture), on the same URL under the same token. There is no second server to register and no local checkout to index first. Answer both halves and say which half each claim came from.
Two things genuinely stay on the host:
code_* tools rather than composing a traversal.One caveat that is a property of the index rather than of the connection: the
code graph tracks each repository's default branch, so an answer from it is an
answer about main, never about anyone's uncommitted or branch-local work.
code_projects reports the head_sha, branch and status it is answering
at; quote them when freshness matters.
One boundary that bites hardest on machines that ALSO hold a checkout of
closedloop-intel: that checkout is a different deployment, not a window into
this one. Never run its just commands, open its ledger.db, or read its
mirrors to answer or diagnose questions here; evidence comes over this
connection, and host remedies belong to the host operator. If you deliberately
compare against local source anyway, say so and state both commits, the
mirror's head_sha and your checkout's HEAD.
© 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/code/skills/closedloop-intel of closedloop-ai/claude-plugins.
Open the folder on GitHubat commit 0e20ac0
Closedloop Intel 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 |
|---|---|---|---|---|---|---|
| Closedloop Intel this skillclosedloop-ai/claude-plugins | 122 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 62 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 37k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Fastmcp Client CLIPrefectHQ/fastmcp | 28k | 1 repos | ~823 | Automated safety check: Pass | Apache-2.0 | |
| MemPalace Memory SearchMemPalace/mempalace | 59k | — | ~1.4k | Automated safety check: Pass | MIT |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
PrefectHQ/fastmcp
Query and invoke tools on MCP servers using fastmcp list and fastmcp call.
MemPalace/mempalace
Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.
charmbracelet/crush
Explains how to configure the Crush coding agent with crushrc or crush.json, covering providers, models, LSPs, MCP servers, hooks, permissions and config precedence.
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…
Works with
Categories
ClosedLoop ticket + codebase intelligence over a shared remote instance. Closedloop Intel is an agent skill from closedloop-ai/claude-plugins. ClosedLoop ticket + codebase intelligence over a shared remote instance.
Closedloop Intel fits situations like: agent Workflows work in your project.
Run `npx skills add closedloop-ai/claude-plugins --skill closedloop-intel -a claude-code`. Or copy the skill folder (plugins/code/skills/closedloop-intel in closedloop-ai/claude-plugins) into .claude/skills/closedloop-intel in your project. Claude Code loads it when a task matches its description.
Run `npx skills add closedloop-ai/claude-plugins --skill closedloop-intel -a codex`. Or copy the skill folder (plugins/code/skills/closedloop-intel in closedloop-ai/claude-plugins) into .agents/skills/closedloop-intel 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 closedloop-intel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/closedloop-intel, .gemini/skills/closedloop-intel, .github/skills/closedloop-intel and .opencode/skills/closedloop-intel in your project.
Going by SKILL.md and its folder, Closedloop Intel needs the command-line tools its instructions call (claude and codex) and credentials named CLGRAPH_MCP_TOKEN. Our summary lists: A credential in CLGRAPH_MCP_TOKEN.
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.
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.
Closedloop Intel 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 2k tokens (SKILL.md is roughly 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 Closedloop Intel: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 37k stars) and Fastmcp Client CLI (PrefectHQ/fastmcp, 28k 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 43 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.