mcpbeat

AI

coco-research/ai

940k tokens
context cost
the whole folder, loaded on every use
493
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
196
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/coco-research/coco --skill ai

The instruction itself

16 sections, as written by the author

AI Super Intelligence Team — SKILL entry

Rijul's AI research + engineering brain trust and decision-making partner. 59 named personas drawn from the world's frontier model labs (US, UK, China, France), top AI universities, the open-source ecosystem, the independent-evaluation and AI-governance ecosystem, and product-history archetypes. Reusable across any CoCo-routed prompt — invoked by /superintelligenceTeam-* slash commands. The team's primary purpose is to help take decisions, not just review work after the fact — every cell carries a decision-relevant lens that convene synthesis explicitly draws on.

> Status: All three phases complete.

> - Phase 1: 49 personas across 8 cells (baseline roster + founding v2 panelists).

> - Phase 2: 10 priority additions from the EXPANSION.md gap analysis (roster grew to 59).

> - Phase 3: 22 slash commands installed at ~/.claude/commands/superintelligenceTeam*.md — orchestrator-first action surface plus explicit-override identity surface. See Slash Commands section below.

This file is the user-facing entry point for the team. The machine source of truth is registry.json, regenerated from persona frontmatter by python3 superintelligenceTeam/scripts/build_registry.py.

What this team is for

When a CoCo prompt is high-stakes enough to deserve a parallel review panel, the AI Super Intelligence Team plays the role of named external voices. Instead of "the panel said," every claim is attributed to a specific researcher with documented stances. This lets convene synthesis:

  • Surface real disagreement (Hinton vs LeCun on existential risk; Karpathy vs Schulman on RL).
  • Anchor stances to citable evidence (every public_stance in every persona has an evidence_url).
  • Stay honest about who actually drove which decision (lead-driver vs validator vs specialist vs swing).

The 5-cell × 4-persona founding Memory v2 panel from May 26-27, 2026 was the first consumer. This team supersedes that roster: five of those panelists (Karpathy, Wei, LeCun, Tri Dao, Hyung Won Chung) continue here with their v2_panel_attribution records preserved. The rest of the founding v2 panel (memory / cloud / security / privacy personas) belong to future Super Intelligence Teams (Memory Systems, Cloud, Data, Compliance) and are not part of this AI-focused roster.

Cells (8)

| Cell | Count | Focus | File |

|---|---|---|---|

| frontier-labs-research | 6 | CSO / co-founder tier at frontier labs (US, China, France) | cells/frontier-labs-research.md |

| applied-ai-leadership | 7 | Product / strategy founders shipping AI (incl. archetypes) | cells/applied-ai-leadership.md |

| model-architects | 7 | Pretraining + scaling + model design + retrieval + open-source | cells/model-architects.md |

| reasoning-rl-agents | 7 | Post-training, RL, agentic systems, test-time compute | cells/reasoning-rl-agents.md |

| alignment-interp-safety | 9 | Alignment + mech interp + safety policy + independent evals + governance | cells/alignment-interp-safety.md |

| theory-science | 9 | DL theory + science + Turing laureates + AI-for-science + common-sense | cells/theory-science.md |

| multimodal-embodied | 7 | Vision + diffusion + robotics + embodied | cells/multimodal-embodied.md |

| systems-kernels-serving | 7 | Kernels + serving + GPU + quantization + anti-NVIDIA silicon | cells/systems-kernels-serving.md |

Personas (59)

Listed by cell. Each has a YAML-frontmatter profile under personas/<slug>.md plus a research dump under research/<slug>/. Bold marks Phase 2 additions (built 2026-05-28 from EXPANSION.md).

Frontier Labs Research (6): ilya-sutskever · dario-amodei · demis-hassabis · jakub-pachocki · liang-wenfeng · arthur-mensch

Applied AI Leadership (7): sam-altman · mira-murati · greg-brockman · aravind-srinivas · aidan-gomez · elon-musk · steve-jobs *(archetype, deceased 2011)*

Model Architects (7): andrej-karpathy · jared-kaplan · noam-shazeer · jason-wei · sebastian-raschka · patrick-lewis · thomas-wolf

Reasoning, RL, Agents (7): john-schulman · noam-brown · hyung-won-chung · nathan-lambert · barret-zoph · karina-nguyen · sasha-rush

Alignment, Interp, Safety (9): chris-olah · paul-christiano · jan-leike · dan-hendrycks · stuart-russell · neel-nanda · lilian-weng · beth-barnes · helen-toner

Theory and Science (9): yann-lecun · yoshua-bengio · geoffrey-hinton · john-jumper · percy-liang · christopher-manning · yejin-choi · sara-hooker · aleksander-madry

Multimodal, Embodied (7): fei-fei-li · pieter-abbeel · sergey-levine · chelsea-finn · robin-rombach · aditya-ramesh · prafulla-dhariwal

Systems, Kernels, Serving (7): tri-dao · bryan-catanzaro · andrew-feldman · albert-gu · horace-he · woosuk-kwon · tim-dettmers

Files in this team

superintelligenceTeam/
├── SKILL.md                   This file — user-facing entry.
├── registry.json              Machine source of truth. Read by slash commands.
├── EXPANSION.md               (Phase 2) Gap-analysis and roster-expansion candidates.
├── templates/
│   ├── persona.md             Schema source-of-truth for every persona file.
│   └── convene.md             Multi-persona session template.
├── personas/                  59 *.md files, one per persona. YAML frontmatter + 6 narrative sections.
├── cells/                     8 *.md cell summaries.
├── research/                  59 directories, one per persona. Raw research dumps so future re-syntheses don't recrawl.
└── scripts/
    └── build_registry.py      Regenerates registry.json from persona frontmatter. Run after any persona edit.

<a id="slash-commands"></a>

Slash commands (Phase 3 — installed)

22 slash command files live at ~/.claude/commands/superintelligenceTeam*.md (user-global install, parallel to the existing /team family). Each is auto-registered as a discoverable Skill — no separate SKILL.md registration is needed. The architecture is orchestrator-first: every action verb invokes the orchestrator to pick a custom 16-32 persona team and gate on user approval before executing.

Dispatcher (1)

| Command | Purpose |

|---|---|

| /superintelligenceTeam | No args → print roster + cell heatmap. With a subcommand as first token, routes to the sibling file. With free text and no subcommand, defaults to :meeting. |

Orchestrator (1)

| Command | Purpose |

|---|---|

| /superintelligenceTeam:orchestrate "<prompt>" | Standalone team selection. Reads registry.json, scores all 59 personas via domain match (40%) + cell coverage (30%) + productive-conflict pairing (30%), picks 16-32, asks for user approval via AskUserQuestion with per-persona one-line rationale. Hard 16-32 size enforcement. Re-picks every invocation. Does NOT load CoCo. |

Identity surface — explicit overrides (4)

| Command | Purpose | Skips orchestrator? |

|---|---|---|

| /superintelligenceTeam:ask <slug> "<question>" | 1-on-1 with one persona in their voice. | Yes |

| /superintelligenceTeam:huddle <cell-slug> "<topic>" | Whole cell (4-9 personas) synthesizes. | Yes |

| /superintelligenceTeam:meeting "<prompt>" | Full 59-persona convene with mandatory attribution. | Yes |

| /superintelligenceTeam:read <slug> | Print the persona file inline (not voice-channeled). | Yes |

Roster management (1)

| Command | Purpose |

|---|---|

| /superintelligenceTeam:recruit <domain> "<why>" | Propose 2-3 new persona candidates for an under-covered domain. Reads EXPANSION.md to avoid re-proposing. Does not write personas itself. |

Action surface (15) — orchestrator-first by default

All 15 invoke /superintelligenceTeam:orchestrate first unless --no-orchestrate, --cells, or --personas flag is supplied.

| Command | Output shape |

|---|---|

| /superintelligenceTeam:analyse "<topic>" | Per-persona analysis + synthesis table of strongest signals |

| /superintelligenceTeam:decide "<question>" | Primary verb. Decision matrix: options × personas × verdict + recommendation + named dissent |

| /superintelligenceTeam:review <target> | Multi-persona findings classified CRITICAL/MAJOR/MINOR/SUGGESTION + ship verdict |

| /superintelligenceTeam:re-analyse "<topic>" [--prior <path>] [--evidence <text>] | Updated stances + diff vs prior analysis |

| /superintelligenceTeam:pre-mortem "<plan>" | Ranked failure modes + early warning signs + mitigations |

| /superintelligenceTeam:post-mortem "<what failed>" | Per-persona 5 Whys + most-likely root cause + remediation plan |

| /superintelligenceTeam:full-cycle "<topic>" | Heaviest verb. Chains :review → :analyse → mitigate-risk → :decide → finalize as real subcommand invocations. 5× latency. Finalized action plan. |

| /superintelligenceTeam:tradeoff "<A vs B>" | Side-by-side dimensions × options table + most-opposed cell named |

| /superintelligenceTeam:plan "<goal>" | Phased plan with owner cell + dissenting voices per phase |

| /superintelligenceTeam:design "<feature>" | Component-level architecture with per-decision attribution |

| /superintelligenceTeam:vote "<binary question>" | Yes/no per persona + tally by cell + recommendation |

| /superintelligenceTeam:debug "<problem>" | Ranked root-cause hypotheses + diagnostic test order |

| /superintelligenceTeam:stress-test "<proposal>" | Adversarial attacks per persona + severity matrix + SHIP/HARDEN-THEN-SHIP/REFRAME/DO-NOT-SHIP verdict |

| /superintelligenceTeam:defend "<position>" [as <slug>] | Steelman with sharpened claim + counter-objection rebuttal + "what would change my mind" |

| /superintelligenceTeam:roast "<thing>" | One-line cutting roast per persona + single line that hurt most + convergent critique |

Global flags

Every command accepts these:

| Flag | Effect |

|---|---|

| --no-orchestrate | Skip orchestrator; use all 59 personas |

| --cells <comma-list> | Manually scope to specific cells; skip orchestrator |

| --personas <comma-list> | Manually scope to specific persona slugs; skip orchestrator |

Conventions enforced by every command

  • Registry is source of truth. Re-read every invocation; no caching.
  • Attribution at every line. No "the team said" — name a persona or a cell.
  • Approval gate mandatory for action verbs unless an explicit flag bypasses.
  • Hard 16-32 size band on orchestrator output.
  • Full English prose — no caveman compression in command output.

Cross-team note

This is the first Super Intelligence Team in CoCo. Planned follow-ons:

  • cloud-super-intelligence — AWS / GCP / Azure architecture
  • finance-super-intelligence — FP&A, accounting, finance ops
  • coding-super-intelligence — software-engineering practice
  • design-super-intelligence — UX, design systems, visual design
  • product-super-intelligence — PM craft, product strategy

All teams share the same schema (teams: [...] array on each persona, functional cell slugs, slash-command surface). A persona may belong to multiple teams — Karpathy will likely also appear in a future coding-super-intelligence team because of his pedagogical reach into engineering practice. The teams: field is an array exactly so this is cheap.

Conventions

  • Schema source of truth: templates/persona.md. Edit there first; persona files conform.
  • Registry regeneration: run python3 superintelligenceTeam/scripts/build_registry.py after any persona edit.
  • Caveman mode does NOT apply to persona files, cell files, or this SKILL.md. Documentation is always full English prose per the project rule.
  • Citation is mandatory. Every public_stance has an evidence_url. No uncited claims.
  • v2 panel preservation. Personas with v2_panel_attribution entries anchor to actual material from the founding Memory v2 synthesis on 2026-05-26. Convene uses those first.
  • Confidence calibration. confidence < 0.85 means we suspect identifier or biographical detail may need re-verification. Persona is still usable but flag in convene.

Build provenance

  • Forged 2026-05-27 by Rijul Kalra during /coco session.
  • Quality bar set by Karpathy reference (12 cited URLs, 5 recent_signal_12mo entries, full 6-section narrative).
  • 46 remaining personas built by parallel research sub-agents in 6 waves (8 + 8 + 8 + 8 + 8 + 6).
  • Several agent runs corrected the user-supplied hints with verified facts (e.g., Lilian Weng's PhD = Indiana not NYU; Sergey Levine's PhD advisor = Vladlen Koltun not Pieter Abbeel; Barret Zoph fired from TML Jan 2026 and returned to OpenAI; Aditya Ramesh stayed at OpenAI Worldsim VP not TML).
  • All persona files written in full English prose. Caveman mode active in chat throughout.

How to use it

Copy the folder

Take coco-research/ai from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.