claude-c-suite
claudecodexTool · Executive-team review lenses (CEO/CTO/CSO/CFO/PM/QA-Lead/DX-Lead/…) for any codebase. Single-lens /ask router plus per-role commands. (JFK-maintained; kagura-ai migration deferred.)
16 skills · 16 commands
Tool · PhD-level review panel (CS / DB / Distributed-Systems / Data-Science / PL / Security / Statistics) for deep technical critique. (JFK-maintained; kagura-ai migration deferred.)
Plugin claude-phd-panel from marketplace kagura-plugins in kagura-ai/kagura-plugins. Commands read from the repo's manifest — 1 month ago.
/claude-phd-panel:auditConformance audit for PhD Panel commands — verifies all command files have required structural sections (mode detection, trust boundary, safety clauses, cross-reference sections)
/claude-phd-panel:configManage the claude-phd-panel user config file at ~/.claude/claude-phd-panel.json — show, initialize, or read a single setting
/claude-phd-panel:csComputer Science PhD review — algorithm complexity, data structures, concurrency correctness, computational efficiency
/claude-phd-panel:dbDatabase Theory PhD review — schema normalization, query optimization, indexing strategy, consistency models, transaction isolation
/claude-phd-panel:dist-sysDistributed Systems PhD review — consensus correctness, fault tolerance, partition handling, consistency guarantees, idempotency
/claude-phd-panel:dsData Science PhD review — ML pipeline design, feature engineering, model evaluation, data leakage detection, reproducibility
/claude-phd-panel:plProgramming Languages Theory PhD review — type safety, abstraction design, error handling patterns, language feature correctness, effect tracking
/claude-phd-panel:secSecurity & Cryptography PhD review — cryptographic primitive selection, protocol safety, key management, randomness sources, side-channel analysis, post-quantum readiness
/claude-phd-panel:statsStatistics PhD review — A/B test design, metric validity, statistical significance, bias detection, experiment methodology
Tool · Executive-team review lenses (CEO/CTO/CSO/CFO/PM/QA-Lead/DX-Lead/…) for any codebase. Single-lens /ask router plus per-role commands. (JFK-maintained; kagura-ai migration deferred.)
16 skills · 16 commands
Harness · Drives GitHub issues to PRs (start → implement → ship → review) with gates, resumable state, and HITL. Costly, mutates the repo, opens PRs — not an atomic tool. (JFK-maintained; kagura-ai migration deferred.)
9 commands
Tool · Thin Claude Code skills over the Kagura Memory CLI (kagura) — auth, doctor, setup, document ingestion, resource tokens, and R2 file uploads. The operational companion to the kagura-memory substrate.
9 skills
Harness · Autonomous coding loop over Claude Code + Kagura Memory (run / review / goal). Stateful, resumable, creates PRs, HITL gates — not an atomic tool.
6 skills
Substrate · Memory Cloud. Persistent AI memory grounding the whole ecosystem — session-start/session-summary bracket every session; recall/remember/guide used throughout.
1 skill
Tool · Memory-grounded PLAN-layer over Claude Code + Kagura Memory. Thin skill wrapping the kagura-planner CLI (plan / doctor).
1 skill
Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
CMEM Pro for the Claude app - hooks stream tool use to cmem.ai and inject observations into new sessions and agents
3 skills · 1 MCP server · hooks
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.
3 skills · 6 commands · 1 MCP server · hooks
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
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