mattpocock-skills
claudeMatt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
mattpocock/skills 323,108
claudecodex
coral
Author and run CORAL tasks (init/validate, start/status/resume/log/show) from Claude Code or Codex. Skills + a SessionStart install check.
/
Plugin coral from marketplace coral-marketplace in Human-Agent-Society/CORAL. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
What it installs
Skills (4)
coral-quickstartThe fast path from zero to a running CORAL experiment — what CORAL is and when to reach for it, installing the `coral` CLI, registering a runtime with `coral setup`, and the `.coral_workspace/` convention for pointing CORAL at code you already have and want optimized. Use this whenever the user asks
creating-a-coral-taskAuthor a new CORAL task — the three pieces that must line up (`task.yaml`, `seed/`, a packaged `grader/`), the `coral init` → `coral validate` → smoke-test loop, and how to pick a grader pattern (stdout float, test pass-rate, ratio-vs-baseline, multi-metric, or an LLM rubric judge). Use whenever the
running-coral-experimentsRun and manage CORAL experiments from the operator side — launch agents with `coral start` (dotlist overrides, model/count, tmux vs local), monitor with `coral status` / `coral log` / `coral show` / the web dashboard, and drive the loop with `coral resume` (inject instructions, fork from an attempt)
setting-up-coralOne-time machine setup after installing the `coral` CLI — register local agent runtimes as named bindings with `coral setup` / `coral setup agent`, validate them with `coral agents doctor` (incl. a live hello-ping that catches expired auth and model typos), and reference them from a task via `agents
Subagents (2)
coral-run-doctorUse this subagent to diagnose a CORAL run that's misbehaving — agents restarting, every eval failing, the score plateaued, or "is this run healthy?". It reads `coral status` / `coral log` / `coral show` / notes, identifies the pathology, and returns a ranked set of concrete fixes (fix the grader, re
coral-task-authorUse this subagent to turn "optimize / speed up / improve this with CORAL" into a working CORAL task. Give it the code (or just a repo and a rough goal) and it acts immediately — explores the repo to infer the optimization target, scaffolds a .coral_workspace/, writes the grader, and iterates `coral
Hooks (1)
- SessionStart
python3 "${CLAUDE_PLUGIN_ROOT}/hooks/session-start.py"
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