Tech Data Playbook
LeoYeAI/openclaw-master-skills
World-Class Technology & Data Playbook. An agent skill from LeoYeAI/openclaw-master-skills.
Your software-engineering brain trust. An agent skill from coco-research/coco.
Install Engineering Super Intelligence
$ npx skills add coco-research/coco --skill engineering-super-intelligence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install coco-research/coco engineering-super-intelligence --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/coco-research/coco.git skills-src && mkdir -p .claude/skills && cp -r skills-src/systems/superintelligence/engineering .claude/skills/engineering-super-intelligence && 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 "engineering-super-intelligence" agent skill from https://github.com/coco-research/coco/tree/main/systems/superintelligence/engineering into .claude/skills/engineering-super-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "engineering-super-intelligence", 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/coco-research/coco/tree/main/systems/superintelligence/engineeringType 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 coco-research/coco --skill engineering-super-intelligence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install coco-research/coco engineering-super-intelligence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .agents/skills && cp -r skills-src/systems/superintelligence/engineering .agents/skills/engineering-super-intelligence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "engineering-super-intelligence" agent skill from https://github.com/coco-research/coco/tree/main/systems/superintelligence/engineering into .agents/skills/engineering-super-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "engineering-super-intelligence", 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 coco-research/coco --skill engineering-super-intelligence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install coco-research/coco engineering-super-intelligence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/systems/superintelligence/engineering .cursor/skills/engineering-super-intelligence && 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 "engineering-super-intelligence" agent skill from https://github.com/coco-research/coco/tree/main/systems/superintelligence/engineering into .cursor/skills/engineering-super-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "engineering-super-intelligence", 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/coco-research/coco.git --path systems/superintelligence/engineering--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 coco-research/coco --skill engineering-super-intelligence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install coco-research/coco engineering-super-intelligence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/systems/superintelligence/engineering .gemini/skills/engineering-super-intelligence && 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 "engineering-super-intelligence" agent skill from https://github.com/coco-research/coco/tree/main/systems/superintelligence/engineering into .gemini/skills/engineering-super-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "engineering-super-intelligence", 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 coco-research/coco engineering-super-intelligenceInstalls 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 coco-research/coco --skill engineering-super-intelligence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .github/skills && cp -r skills-src/systems/superintelligence/engineering .github/skills/engineering-super-intelligence && 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 "engineering-super-intelligence" agent skill from https://github.com/coco-research/coco/tree/main/systems/superintelligence/engineering into .github/skills/engineering-super-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "engineering-super-intelligence", 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 coco-research/coco --skill engineering-super-intelligence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install coco-research/coco engineering-super-intelligence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/systems/superintelligence/engineering .opencode/skills/engineering-super-intelligence && 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 "engineering-super-intelligence" agent skill from https://github.com/coco-research/coco/tree/main/systems/superintelligence/engineering into .opencode/skills/engineering-super-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "engineering-super-intelligence", 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
engineering-super-intelligence- GitHub stars
- 473
- Token cost
- ~3.4k tokens
- SKILL.md length
- 1,062 words
- Files
- 229 (incl. scripts)
- Skills in repo
- 60
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Your software-engineering brain trust. An agent skill from coco-research/coco.
- Tasks that involve Site reliability engineering
- SKILL.md covers What this team is for, Cells (11), Personas (70 native) and Cross-listed from the AI team…, plus 4 more sections
- Calls python3
- Tasks that involve Cloud architecture
What it does
Engineering Super Intelligence is an agent skill from coco-research/coco. Your software-engineering brain trust. Named personas across 11 cells covering cloud architecture, reliability/SRE/observability, data and storage, security, FinOps, languages and runtimes, systems programming, web and frontend…
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 230 other files, including scripts (for example `ROSTER.md`, `VALIDATION-OFFLINE.md` and `cells/ai-assisted-coding.md`).
It sits in DevOps & Cloud, covering Site reliability engineering, Cloud architecture and Cloud cost optimization. The repository describes itself as: CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 226 skills, 386 commands…
When your agent uses it
- Tasks that involve Site reliability engineering
- Tasks that involve Cloud architecture
- Tasks that involve Cloud cost optimization
Example prompts
- “/engineering-super-intelligence”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 6036e9c. 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
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
python3
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
Engineering Super Intelligence loads about 3.4k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 1,062 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); the scripts in this folder 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 1,062 words (~3,399 tokens).
“Your software-engineering brain trust and decision-making partner. 70 named native personas across 11 cells — drawn from the people who built the cloud, the databases, the languages, the runtimes, the web platform, the security and reliability disciplines, the DevOps movement…”
- name
- engineering-super-intelligence
- team_id
- engineering-super-intelligence
- team_name
- Engineering Super Intelligence Team
- last_updated
- 2026-05-30
- schema_version
- 1.0
Files
SKILL.md and 228 other files (scripts) in systems/superintelligence/engineering of coco-research/coco.
- SKILL.md
- ROSTER.md
- VALIDATION-OFFLINE.md
- cells/ai-assisted-coding.md
- cells/architecture-testing-craft.md
- cells/cloud-architecture.md
- cells/data-and-storage.md
- cells/devops-platform.md
- cells/finops-cost.md
- cells/languages-runtimes.md
- cells/reliability-sre-obs.md
- cells/security.md
- cells/systems-programming.md
- cells/web-and-frontend.md
- personas/adam-wathan.md
- personas/adrian-cockcroft.md
- personas/alex-stamos.md
- personas/anders-hejlsberg.md
- personas/andy-pavlo.md
- … and 210 more
Open the folder on GitHubat commit 6036e9c
Compare with similar skills
Engineering Super Intelligence 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 |
|---|---|---|---|---|---|---|
| Engineering Super Intelligence this skillcoco-research/coco | 473 | — | ~3.4k | Automated safety check: Pass | Custom licence | |
| Tech Data PlaybookLeoYeAI/openclaw-master-skills | 2.2k | — | ~6.8k | Automated safety check: Pass | MIT | |
| Vercel Optimize Auditvercel-labs/agent-skills | 32k | 8 repos | ~4.3k | Automated safety check: Pass | None | |
| Cloud Cost Optimizationwshobson/agents | 40k | 13 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Axiom Cost Controlopenclaw/clawhub | 9.5k | — | ~1.7k | Automated safety check: Pass | MIT | |
| AWS Cost Operationszxkane/aws-skills | 367 | 1 repos | ~2.4k | Automated safety check: Pass | MIT |
Similar skills
- Official
Vercel Optimize Audit
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
Cloud Cost Optimization
wshobson/agents
Cuts cloud spend across AWS, Azure, GCP and OCI with cost tagging, rightsizing, commitment and spot pricing models, and architecture changes.
Axiom Cost Control
openclaw/clawhub
Finds unused data in Axiom by analyzing query patterns, then deploys a cost dashboard and ingest monitors to keep spend under the contract limit.
AWS Cost Operations
zxkane/aws-skills
AWS cost optimization, monitoring, and operational excellence expert.
Service Mesh Observability
wshobson/agents
Set up tracing, metrics and dashboards for Istio, Linkerd and other service meshes, with golden-signal alerts, SLOs and guidance on sampling and cardinality.
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Related
Categories
Questions about Engineering Super Intelligence
What does Engineering Super Intelligence do?
Your software-engineering brain trust. An agent skill from coco-research/coco. Engineering Super Intelligence is an agent skill from coco-research/coco. Your software-engineering brain trust.
When should I use Engineering Super Intelligence?
Engineering Super Intelligence fits situations like: tasks that involve Site reliability engineering; tasks that involve Cloud architecture; tasks that involve Cloud cost optimization.
How do I install Engineering Super Intelligence in Claude Code?
Run `npx skills add coco-research/coco --skill engineering-super-intelligence -a claude-code`. Or copy the skill folder (systems/superintelligence/engineering in coco-research/coco) into .claude/skills/engineering-super-intelligence in your project. Claude Code loads it when a task matches its description.
How do I install Engineering Super Intelligence in Codex?
Run `npx skills add coco-research/coco --skill engineering-super-intelligence -a codex`. Or copy the skill folder (systems/superintelligence/engineering in coco-research/coco) into .agents/skills/engineering-super-intelligence in your project. Codex loads it when a task matches its description.
Can I use Engineering Super Intelligence 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 coco-research/coco --skill engineering-super-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/engineering-super-intelligence, .gemini/skills/engineering-super-intelligence, .github/skills/engineering-super-intelligence and .opencode/skills/engineering-super-intelligence in your project.
What does Engineering Super Intelligence need to run?
Going by SKILL.md and its folder, Engineering Super Intelligence needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Engineering Super Intelligence 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 Engineering Super Intelligence 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Engineering Super Intelligence use?
Engineering Super Intelligence 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 Engineering Super Intelligence use?
About 3.4k tokens (SKILL.md is roughly 14k 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 Engineering Super Intelligence?
Skills that share tags, products or a category with Engineering Super Intelligence: Tech Data Playbook (LeoYeAI/openclaw-master-skills, 2.2k stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars), Cloud Cost Optimization (wshobson/agents, 40k stars) and Axiom Cost Control (openclaw/clawhub, 9.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Engineering Super Intelligence?
coco-research (a GitHub user) maintains it in coco-research/coco, which has 473 GitHub stars. The repository holds 60 skills in this directory. The repository was last updated on October 7, 2026.
Source: coco-research/coco on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.