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
Harness · Autonomous coding loop over Claude Code + Kagura Memory (run / review / goal). Stateful, resumable, creates PRs, HITL gates — not an atomic tool.
Plugin kagura-engineer from marketplace kagura-plugins in kagura-ai/kagura-plugins. Commands read from the repo's manifest — 1 month ago.
doctorUse before any kagura-engineer run/review, or when the harness reports a blocked environment — diagnoses the local setup (git, selected brain CLI, gh, ollama, memory backend, and gh-issue-driven plugin) by shelling out to `kagura-engineer doctor` and reports what must be fixed.
evalUse to measure whether memory grounding actually improves PR quality — shells out to `kagura-engineer eval` with one or more issue numbers, running the SAME fixed issue set in two arms (recall ON vs OFF) and printing an A/B table. HARNESS — high cost; it runs the full loop twice per issue and mutate
initUse to bootstrap a fresh checkout for the kagura-engineer harness — scaffolds a commented repo.yaml template and adds it to .gitignore by shelling out to `kagura-engineer init`. Run this before setup/run/review when no repo.yaml exists yet. Idempotent and never overwrites.
reviewUse to review a git ref, branch, or PR with the local kagura-engineer reviewer — shells out to `kagura-engineer review [target]`, returning a structured verdict and findings. With `--fix` it is a HARNESS that edits files and commits; without `--fix` it is read-only.
runUse to drive a single GitHub issue to a pull request with the kagura-engineer harness — shells out to `kagura-engineer run` with an issue number (guard → recall → worktree → start → implement → ship → persist). HARNESS — this mutates the repo, creates a PR, and spends model budget; confirm with the
setupUse when kagura-engineer:doctor reports a blocked or failing environment — scaffolds missing config, installs and authenticates harness prerequisites, and generates Memory Cloud MCP config by shelling out to `kagura-engineer setup`, then re-checks with doctor.
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
Tool · PhD-level review panel (CS / DB / Distributed-Systems / Data-Science / PL / Security / Statistics) for deep technical critique. (JFK-maintained; kagura-ai migration deferred.)
9 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
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
Talk like caveman. Cut filler. Keep technical details explicit.
22 skills · 1 command · 3 agents · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
tasteskill 2.5.1: professional company websites at the figma.com and x.ai level, with one section per screen, real photographs, real product UI, effects kept for tech and gaming pages, and a real-browser checker and finish gate.
1 skill
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Package any website or local web build into a lightweight desktop app with Pake CLI.
1 skill
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