CoCo Super Intelligence

Summon an advisory board of 495 world-class minds inside the AI coding session you already use, then 227 skills[^installed], 386 commands, and disk-persistent state that ship the decision.

Open-core: the core is MIT, and Super Intelligence is proprietary. Files stay on your machine. No telemetry. A version check may contact GitHub once a day.

Why it exists

A hard call in a coding session usually gets one model's opinion, with no name on it and no record of who disagreed. CoCo seats a cross-team board of 495 named experts, each answering from cited public stances, and returns one pick plus the dissent. The same install carries the skills and commands that do the work after the verdict, and writes phase state to disk so a cleared chat does not erase the plan. It is not a new model and not a new harness. It installs into the one you already run.

See it

Personas are simulated from public writing and are not the views of any real person. See the persona disclaimer.

An illustration built from a real /SI-Decide run (Claude Sonnet 5.5, 30 September 2026, US$0.41). Persona names are replaced with role archetypes and the output is trimmed for length; no other words are changed. The full output, with the same replacements, is in docs/readme/terminal/si-decide-full.md. Note what it admits: the embedding router was offline, so it fell back to keywords, and stances applied beyond their source are marked extrapolated.

Quick start

Prerequisites: git, bash, Node.js 14 or newer (for npx), and python3 (it generates the /SI-* commands).

npx cocosuperintelligence installs the latest release. It clones the pinned release tag (currently v1.5.0, not floating main) into ./coco of the current directory, then runs install.sh. Run it from your home folder, so the clone is ~/coco and not a folder inside another project. On a fresh machine it took about 3 minutes, including the download.

npx cocosuperintelligence

Open Claude Code and run:

/SI-Decide "Should a 10-person startup move its public REST API to GraphQL this quarter?"

Newest main, which is ahead of that pin:

git clone https://github.com/coco-research/coco.git ~/coco && bash ~/coco/install.sh

Adapter flags and bundle selection: docs/install.md.

What it does

• Get one clear pick on a hard call, with the disagreement named and each stance cited.
• Ask in one line. /SI-Decide seats 16-32 of 495 personas across 13 departments. Add --debate for reaction rounds.
• Keep going after /clear. Decisions, phase state, and progress stay on disk.
• Install into Claude Code, Cursor, Codex, VS Code, or another adapter. Your model and your keys stay yours.
• Carry the verdict into the work: planning, review, verification, PRDs, and a pull request, with gates that have real exit codes.
• Stay local. CoCo adds no analytics. Set COCO_NO_UPDATE_CHECK=1 to skip the daily GitHub version check.

How it works

You type a question. The orchestrator scores 495 personas across 13 departments on domain fit, cell coverage, and productive conflict, then seats 16-32. Each seated persona answers from its cited public stances. --debate adds reaction rounds before the tally. The decision is one pick, the dissents are named, and a stance check flags anything that does not trace to a source.

How the router scores teams: systems/superintelligence/README.md. What each editor actually receives: adapters/INDEX.md.

Status and roadmap

Released: v1.5.0 on npm. Today npx installs v1.5.0. That tag already contains the 13 Super Intelligence team skill files, but its installer does not install them as front doors. That fix, and several other installer fixes, are on main. The measured 189 skills / 386 commands / 34 agents (docs/delivered-counts.json) apply to main.

Known gap: most GSD skills need the upstream GSD toolkit at ~/.claude/get-shit-done (see systems/gsd/README.md).

Next three milestones:

1. v1.6.0, so npx installs what main already has.
2. Bundle the GSD runtime, so those skills work without a separate toolkit.
3. Installer safety: an uninstall guard, and a clearer clone location.

Other install paths, updates, uninstall

From a checkout you already have, bash install.sh auto-detects the editor. Narrow it with --adapter cursor or --systems gsd,brain. --core-only skips bundles. reverse-skill stays opt-in: --systems reverse-skill.

The remote bootstrap clones the pinned release tag (currently v1.5.0, not floating main) to ~/.coco, prints the commit, and waits for you to type y before it runs install.sh:

bash <(curl -fsSL https://raw.githubusercontent.com/coco-research/coco/main/bin/coco-bootstrap.sh)

npx cocosuperintelligence update checks out the pinned release tag. A git clone updates with git pull --ff-only && bash install.sh. bash scripts/check-update.sh prints the version. The check contacts GitHub at most once a day and sends no telemetry.

Uninstall removes symlinks whose target is this clone, and only those. Run it from the clone root:

CLONE="$(pwd)"
find ~/.claude ~/.cursor ~/.grok ~/.copilot -type l -lname "${CLONE}/*" -delete

A contains-match on the folder name would also delete links into a path that merely contains that name (for example coco-research when the clone is coco). Hermes profiles live under ~/.hermes/profiles; use the same "${CLONE}/*" prefix there. Uninstall does not remove the generated SI*.md command files or the rules block between <!-- coco:rules-start --> and <!-- coco:rules-end --> in CLAUDE.md; delete those by hand.

The board

Super Intelligence summons a panel inside the session you already have open. Every contribution is attributed to a named expert and grounded in a cited public source.

/SI-Decide "Should we migrate our database to pgvector?"
/SI-AI-Decide "Which embedding model gives the best cost/performance?"
/SI-Eng-Pre-Mortem "Review our zero-downtime cache migration strategy"
/SI-GRC-Review "Check this customer onboarding flow for GDPR compliance"

495 expert personas, organized across 13 specialized departments:

Department	Experts	Focus
Engineering	70	Software architecture, cloud systems, systems coding, compilers, infrastructure
AI	59	Neural-network research, LLM optimization, safety, alignment, vector databases
Product & Design	56	Design systems, UX, product strategy, growth loops
Finance	47	Valuation, corporate finance, macro modeling, fintech infrastructure
Trading	46	Quant analysis, market microstructure, derivatives pricing, crypto liquidity
Legal & IP	31	Privacy law, antitrust, patent and copyright policy, digital rights
Risk & Compliance (GRC)	30	GDPR, HIPAA, SOC 2, security auditing, international regulation
Strategy	29	Platform economics, business models, competitive analysis
Data & Analytics	29	Data engineering, pipeline optimization, predictive modeling
Climate & Energy	25	Decarbonization policy, clean-energy economics, carbon markets, circular economy
Education & EdTech	25	Learning science, curriculum design, education policy, assessment
Healthcare & Life Sciences	25	Health economics, genomics, clinical medicine, public health policy
Sales / GTM / Marketing	23	Product-market fit, sales ops, growth marketing, enterprise GTM

• 342 generated slash commands. 17 cross-team commands (/SI-Decide, /SI-Tradeoff) plus 325 per-team commands (25 verbs × 13 teams, such as /SI-AI-Decide). Generated on your machine at install time. Nothing is uploaded.
• 98 expertise cells. Departments are split into cells so the router can seat a precise panel. The count is the sum of the cells fields in systems/superintelligence/registry.json.
• Two-stage routing. Stage A reads the meta-registry and picks the top teams. Stage B loads compact records for those teams only and seats 16-32 people with weights 0.40 domain, 0.30 cell coverage, 0.30 productive conflict, then pairs opposing views. If one team dominates, that team's own orchestrator takes the question.
• --debate. The panel argues in reacting rounds, then returns a verdict with named dissent instead of a false consensus.

The 495-persona roster was compiled with a systematic multi-tier workflow. Candidate generation was evaluated across local Qwen (via LM Studio), a hosted small model, and Gemini Flash, but Claude research agents proved the quality winner for resolving historical data and citing verifiable signal. Personas are checked by an advisory validation gate (validate_persona.py) that enforces five things: every required frontmatter field is present; at least 4 cited URLs resolve live (non-404); every public_stance carries an evidence_url, so no stance is uncited; at least 2 recent signals within 12 months (or 2 persistent signals for historical archetypes); and any pairs_well_with / productive_conflict_with slug refers to a real roster member. Two limits are worth stating plainly: the gate confirms that a stance is cited, not that a quotation is authentic, and home_team is only checked for presence, not validated against the list of real teams. A NEEDS-TOPUP verdict is advisory. It does not currently affect which personas a council selects at runtime.

Skills catalog

CoCo ships 227 skills (75 core + 152 across bundles)[^installed]. Each one is an instruction set with state, checks, and error handling, not a one-line prompt. A slice:

ui-ux-pro-max · frontend-design · brainstorming · writing-plans · test-driven-development · systematic-debugging · verification-before-completion · prd-generator · openai-agents · coco-loop · coco-ads · arch-index

▸ Full catalog — every one of the 227 skills

Core skills (75)

agent-lightning · agent-self-eval · ai-marketing-videos · ai-product · api-design-principles · arb-review · arch-index · axiom-liquid-glass · brainstorming · browser-automation · c4-architecture · change-log · cli-anything · clone-website · coco · coco-ads · coco-cli · coco-diagram · coco-loop · coco-ship · code-verification · context-budget · design-taste-frontend · dispatching-parallel-agents · doc-sync · dr-plan · executing-plans · expo-api-routes · find-skills · finishing-a-development-branch · frontend-design · generate-tests · goal · humanizer · irp · journey-map · karpathy-guidelines · local-llm · media-memory · meeting-notes · nfr-tracker · openai-agents · openai-api · openai-apps-mcp · openai-whisper · pmstudio · prd-generator · prd-mastery · project-docs · receiving-code-review · recovery-plan · redesign-existing-projects · requesting-code-review · scroll-world · skill-creator · skill-evolution · stakeholder-comms · subagent-driven-development · swiftui-liquid-glass · systematic-debugging · tailwind-patterns · task-prd-creator · test-driven-development · ui-ux-pro-max · ultra-think · using-git-worktrees · using-superpowers · vercel-react-best-practices · verification-before-completion · visual-explainer · voice-ai · web-design-guidelines · workflow-routing · writing-plans · writing-skills

GSD bundle skills (68) — the full gsd-* project-orchestration lifecycle: gsd-new-project, gsd-plan-phase, gsd-execute-phase, gsd-verify-work, gsd-autonomous, gsd-debug, gsd-ui-phase, gsd-secure-phase, gsd-workstreams, gsd-forensics, gsd-milestone-summary, gsd-map-codebase, gsd-profile-user, and 55 more (see systems/gsd/skills/).

Brain bundle skills (6) — brain · brain-init · brain-rescan · brain-update · brain-export · brain-wiki.

Super Intelligence bundle (13) — one orchestration skill per built team (ai, engineering, product-design, finance, trading, risk-compliance, strategy, data-analytics, gtm, climate-energy, education-edtech, healthcare-life-sciences, legal-ip), which generate the 342 /SI-* commands at install.

HyperFrames bundle skills (20) — embedded-captions · faceless-explainer · figma · general-video · hyperframes · hyperframes-animation · hyperframes-cli · hyperframes-core · hyperframes-creative · hyperframes-keyframes · hyperframes-registry · media-use · motion-graphics · music-to-video · pr-to-video · product-launch-video · remotion-to-hyperframes · slideshow · talking-head-recut · website-to-video.

M0 bundle skills (4) — m0 · m0-handoff · m0-recall · m0-remember.

Cognee bundle skills (3) — cognee · cognee-recall · cognee-store.

Not installed by default (38): the reverse-skill security pack (33 reverse-engineering and penetration-testing skills, installed only with --systems reverse-skill; see systems/reverse-skill/) and 5 Cursor-only skills that ship with the Cursor adapter: create-rule · create-skill · create-subagent · migrate-to-skills · update-cursor-settings.

System bundles

Six bundles install by default. --core-only skips them. --systems <list> installs an explicit subset. reverse-skill is not one of the six: it vendors reverse-engineering and penetration-testing methodology under systems/reverse-skill/ and installs only with --systems reverse-skill. See systems/reverse-skill/README.md.

1. GSD. An orchestration engine of 68 skills and 24 agents for phased work on a large codebase. Most GSD skills also need the upstream GSD toolkit at ~/.claude/get-shit-done/, which this installer does not yet provide; see systems/gsd/README.md. Phase state lives in .planning/. Workstreams are isolated git checkouts.
2. Brain. A local knowledge-graph engine of 6 skills. SQLite indexes code entities, decisions, and project terms. The wiki generator writes a page per entity.
3. Super Intelligence. The 495-persona advisory board and its 342 generated /SI-* commands across 13 teams. This is the board above.
4. HyperFrames. 20 skills for video and motion, vendored from HeyGen's hyperframes under Apache-2.0.
5. M0. 4 skills for a cross-tool memory thread in one local SQLite file. Python standard library only.
6. Cognee. 3 skills for a local Cognee graph. They fall back to Brain when cognee server is not running.

/team is not a bundle. It is part of the core install (/team ship, /team plan, /team review, /team verify) and needs no flag. /team ship runs 6 development stages and 7 verification gates, and it can declare where files should land, then fail if they did not. The check is structural (paths exist), not a judgement that the code does what the component promised. Design adapted from lak7/devildev (Apache-2.0); no upstream code was copied. See CREDITS.md.

Technical specifications

A default Claude Code install delivers 189 skills, 386 commands and 34 agents, measured by running the installer. The repository holds 227 skills; the difference is the opt-in security pack and Cursor-only skills. The measured row is main. The v1.5.0 release npx installs today is older. See Status and roadmap.

227 Skills 75 Core + 152 Bundle · 189 install by default

386 Slash Commands 44 Core + 342 Generated

34 Specialized Agents 10 Core + 24 Bundle

495 Expert Personas Super Intelligence Board

15 Cross-IDE Rules Cursor MDC Rules

Spec Version	1.5.0
License	Open-core — MIT core; Super Intelligence is proprietary
Total Skills	227 in the repository (75 Core + 152 Bundle); 189 install by default on Claude Code
Slash Commands	386 on a default install — 44 Core (shipped) + 342 Super Intelligence (325 per-team + 17 cross-team, generated at install)
Specialized Agents	34 (10 Core + 24 Bundle)
Expert Personas	495 across 13 departments and 98 cells
System Bundles	6 (GSD, Brain, Cognee, HyperFrames, Super Intelligence, M0) — installed by default. reverse-skill, the security-testing bundle, stays opt-in with --systems reverse-skill. /team is core and needs no flag.
Cross-IDE Rules	15 (.mdc files)
Workflows Defined	3 (.md pipelines)
Install Time	About 3 minutes on a fresh machine (measured 189 s with npx, including the download)
Telemetry / SaaS	No telemetry, no hosted service. One optional version check against GitHub per day (COCO_NO_UPDATE_CHECK=1 turns it off)

_{Core install ships 75 skills + 44 commands + 10 agents + 15 rules (144 active assets). A plain bash install.sh delivers 189 skills, 386 commands and 34 agents on Claude Code: every bundle in the default allow-list (GSD, Brain, Cognee, HyperFrames, Super Intelligence, M0) is installed by default. --core-only installs the core set alone, and --systems <list> installs an explicit subset — including reverse-skill, the security-testing bundle, which stays opt-in and is never part of the default set. Super Intelligence slash commands are generated locally at install time from the team registries — no command files are transmitted or stored remotely. adapters/INDEX.md records what each adapter actually delivers, measured by running it.}

FAQ

Is CoCo an AI model or an agent harness?

Neither. It is Markdown and YAML that installs into the harness you already use (Claude Code, Cursor, Codex CLI, or any AGENTS.md tool). The host runs the model and the agents. CoCo supplies the skills, commands, agents, rules, and the persona board.

Is my codebase sent anywhere?

CoCo's files stay on your machine. It adds no telemetry and no hosted service. Your editor's own privacy policy is unchanged. The CLI checks GitHub for a newer version at most once a day. COCO_NO_UPDATE_CHECK=1 turns that off.

How do I change a skill?

Edit skills/<name>/SKILL.md, then run bash install.sh so the symlinks pick up the edit.

What if I switch editors?

Run bash install.sh --adapter cursor (or the adapter you want). The skills and workflows come with you. The full list is adapters/INDEX.md.

Credits

CoCo stands on other people's work. The short list:

• obra/superpowers (Jesse Vincent) for the engineering-discipline skills: brainstorming, debugging, TDD, plans, worktrees, review, verification, skill authoring.
• gsd-build/get-shit-done for the 68-skill / 24-agent GSD bundle.
• heygen-com/hyperframes (HeyGen, Inc., Apache-2.0) for the 20-skill video bundle under systems/hyperframes/.
• JCodesMore/ai-website-cloner-template for the structure behind clone-website.
• agents.md for the vendor-neutral context file the adapters follow.
• nickwinder/synthteam (Nick Winder) for the debate protocol behind --debate.
• latent-spaces/brag (Shunit Haviv) and HyperFrames (HeyGen) for the launch-video flow behind coco-ads.
• leonxlnx/taste-skill (Leon) for design-taste-frontend and redesign-existing-projects.
• HKUDS/CLI-Anything for the method behind cli-anything.
• Vercel and vercel-labs/web-interface-guidelines for vercel-react-best-practices and web-design-guidelines.

Full attributions, including audio (ende.app, Kenney.nl), are in CREDITS.md. If something influenced CoCo and is missing, that is a bug: open an issue.

Contributing

CoCo is open-core: the core is MIT-licensed and contributions are welcome. The Super Intelligence System (systems/superintelligence/) is proprietary. See systems/superintelligence/LICENSE.

• Start with CONTRIBUTING.md.
• Good first issues: help wanted / good first issue.
• Bugs and features: open an issue.
• Security: SECURITY.md. Conduct: CODE_OF_CONDUCT.md.

Releases are in CHANGELOG.md and on the GitHub Releases page.

Licence

Open-core. The core of this repository is MIT, in LICENSE. Super Intelligence (systems/superintelligence/) is proprietary, in systems/superintelligence/LICENSE. Third-party bundles keep their own licences: HyperFrames is Apache-2.0, and reverse-skill documents its upstream licence in its own README.

[^installed]: 189 of the 227 skills install by default on Claude Code, together with all 386 commands and 34 agents. The other 38 are the opt-in reverse-skill security pack (33, installed only with --systems reverse-skill) and 5 Cursor-only skills. Measured by running the installer, not by counting files: see docs/delivered-counts.json, and adapters/INDEX.md for every other IDE.