Agent Collective Intelligence Coordinator
ruvnet/ruflo
Agent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator
Collect a complete system-access request from the user and file it via the IT service desk.
$ npx skills add archestra-ai/archestra --skill access-request-intake -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install archestra-ai/archestra access-request-intake --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/archestra-ai/archestra.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-labs/skills/access-request-intake .claude/skills/access-request-intake && 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 "access-request-intake" agent skill from https://github.com/archestra-ai/archestra/tree/main/ai-labs/skills/access-request-intake into .claude/skills/access-request-intake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "access-request-intake", 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/archestra-ai/archestra/tree/main/ai-labs/skills/access-request-intakeType 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 archestra-ai/archestra --skill access-request-intake -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install archestra-ai/archestra access-request-intake --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/archestra-ai/archestra.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ai-labs/skills/access-request-intake .agents/skills/access-request-intake && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "access-request-intake" agent skill from https://github.com/archestra-ai/archestra/tree/main/ai-labs/skills/access-request-intake into .agents/skills/access-request-intake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "access-request-intake", 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 archestra-ai/archestra --skill access-request-intake -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install archestra-ai/archestra access-request-intake --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/archestra-ai/archestra.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ai-labs/skills/access-request-intake .cursor/skills/access-request-intake && 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 "access-request-intake" agent skill from https://github.com/archestra-ai/archestra/tree/main/ai-labs/skills/access-request-intake into .cursor/skills/access-request-intake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "access-request-intake", 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/archestra-ai/archestra.git --path ai-labs/skills/access-request-intake--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 archestra-ai/archestra --skill access-request-intake -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install archestra-ai/archestra access-request-intake --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/archestra-ai/archestra.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ai-labs/skills/access-request-intake .gemini/skills/access-request-intake && 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 "access-request-intake" agent skill from https://github.com/archestra-ai/archestra/tree/main/ai-labs/skills/access-request-intake into .gemini/skills/access-request-intake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "access-request-intake", 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 archestra-ai/archestra access-request-intakeInstalls 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 archestra-ai/archestra --skill access-request-intake -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/archestra-ai/archestra.git skills-src && mkdir -p .github/skills && cp -r skills-src/ai-labs/skills/access-request-intake .github/skills/access-request-intake && 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 "access-request-intake" agent skill from https://github.com/archestra-ai/archestra/tree/main/ai-labs/skills/access-request-intake into .github/skills/access-request-intake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "access-request-intake", 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 archestra-ai/archestra --skill access-request-intake -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install archestra-ai/archestra access-request-intake --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/archestra-ai/archestra.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ai-labs/skills/access-request-intake .opencode/skills/access-request-intake && 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 "access-request-intake" agent skill from https://github.com/archestra-ai/archestra/tree/main/ai-labs/skills/access-request-intake into .opencode/skills/access-request-intake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "access-request-intake", 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.
access-request-intakeCollect a complete system-access request from the user and file it via the IT service desk.
Access Request Intake is an agent skill from archestra-ai/archestra. Collect a complete system-access request from the user and file it via the IT service desk. Use when someone asks to request, grant, or set up system/application access for an employee.
Its SKILL.md is about 380 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 268f421. 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.
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.
No URLs in SKILL.md.
From 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.
Access Request Intake loads about 378 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 198 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 198 words (~378 tokens).
“File system-access requests through the Acme IT service desk's create_access_request tool. The ticket is only valid when every field is present and correct, so gather all of them before submitting.”
Just SKILL.md in ai-labs/skills/access-request-intake of archestra-ai/archestra.
Open the folder on GitHubat commit 268f421
Access Request Intake 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 |
|---|---|---|---|---|---|---|
| Access Request Intake this skillarchestra-ai/archestra | 4.4k | — | ~378 | Automated safety check: Pass | Custom licence | |
| Agent Collective Intelligence Coordinatorruvnet/ruflo | 74k | 3 repos | ~1k | Automated safety check: Pass | MIT | |
| Collection Digestoutline/outline | 41k | — | ~498 | Automated safety check: Pass | Custom licence | |
| Postman Collection Generatorsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Dossier Collectruvnet/ruflo | 74k | — | ~1.1k | Automated safety check: Notes | MIT | |
| Collecting Indicators Of Compromisemukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 |
ruvnet/ruflo
Agent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator
outline/outline
Summarize what changed in an Outline collection since a date; use when the user asks what is new, what was updated, or wants a digest of recent documents.
sickn33/agentic-awesome-skills
Generate complete, import-ready Postman Collection v2.1 JSON files from natural language API descriptions or cURL commands.
ruvnet/ruflo
Build a graph-structured dossier on a seed entity via parallel fan-out + recursive expansion across web, memory, knowledge-graph, codebase, ADR index, and git intel
mukul975/Anthropic-Cybersecurity-Skills
Systematically collects, categorizes, and distributes indicators of compromise (IOCs) during and after security incidents to enable detection, blocking, and threat intelligence sharing.
NG-ZORRO/ng-zorro-antd
Collect and draft NG-ZORRO changelog entries between releases or branches.
archestra-ai/archestra
Migrate an existing agentic PoC/pilot (Claude Code project files, MCP configs, hooks, local tools, openclaw config, or similar hand-rolled setup artifacts) into an Archestra instance.
archestra-ai/archestra
A skill your agent uses for test selection and quality across backend, frontend, and e2e; load its backend reference for Vitest projects, mocking, DB fixtures, and performance.
archestra-ai/archestra
A skill your agent uses when adding or changing Archestra backend routes, models, services, API request/response schemas, endpoint permissions, or OpenAPI/codegen for the generated API client.
archestra-ai/archestra
A skill your agent uses when writing, debugging, or running Archestra Playwright e2e tests, API/UI fixtures, WireMock-backed tests, local/CI e2e setup, or test selectors.
archestra-ai/archestra
A skill your agent uses when modifying Archestra frontend Next.js/React code, UI components, forms, TanStack Query hooks, generated API client usage, frontend copy, or documentation links.
archestra-ai/archestra
A skill your agent uses when adding an LLM provider, changing proxy adapters or provider routes, fixing streaming/tool-call translation bugs, editing model fetchers or model handling, or touching…
Collect a complete system-access request from the user and file it via the IT service desk. Access Request Intake is an agent skill from archestra-ai/archestra. Collect a complete system-access request from the user and file it via the IT service desk.
Access Request Intake fits situations like: someone asks to request; set up system/application access for an employee.
Run `npx skills add archestra-ai/archestra --skill access-request-intake -a claude-code`. Or copy the skill folder (ai-labs/skills/access-request-intake in archestra-ai/archestra) into .claude/skills/access-request-intake in your project. Claude Code loads it when a task matches its description.
Run `npx skills add archestra-ai/archestra --skill access-request-intake -a codex`. Or copy the skill folder (ai-labs/skills/access-request-intake in archestra-ai/archestra) into .agents/skills/access-request-intake 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 archestra-ai/archestra --skill access-request-intake -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/access-request-intake, .gemini/skills/access-request-intake, .github/skills/access-request-intake and .opencode/skills/access-request-intake in your project.
SKILL.md names no scripts, command-line tools or credentials: Access Request Intake is instructions for the agent only.
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.
Access Request Intake has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 378 tokens (SKILL.md is roughly 1.5k 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 Access Request Intake: Agent Collective Intelligence Coordinator (ruvnet/ruflo, 74k stars), Collection Digest (outline/outline, 41k stars), Postman Collection Generator (sickn33/agentic-awesome-skills, 47k stars) and Dossier Collect (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
archestra-ai (a GitHub organization) maintains it in archestra-ai/archestra, which has 4,354 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 8, 2026.
Source: archestra-ai/archestra on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.