Exécutez n'importe quel Skill dans Manus
en un clic

Exécutez n'importe quel Skill dans Manus en un clic

setup-matt-pocock-skills

Étoiles1

Forks0

Mis à jour9 mai 2026 à 18:28

Initialization phase. Scaffolds the per-repo config for engineering skills. Trigger: "/setup-matt-pocock-skills", "setup engineering skills".

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

Exécuter dans Manus

Source

Andersonlimahw

Andersonlimahw/ai-starter-kit

Ouvrir le dépôt GitHub Voir les dépôts du créateur

Téléchargement

Exécuter dans Manus

Métiers associésSOC

Basé sur la classification professionnelle SOC

Développeurs de logicielsProfessions informatiques et mathématiques·SOC 15-1252

SKILL.md

readonly

name	setup-matt-pocock-skills
description	Initialization phase. Scaffolds the per-repo config for engineering skills. Trigger: "/setup-matt-pocock-skills", "setup engineering skills".

Setup Engineering Skills

Configures the workspace to support advanced engineering workflows.

What it does

Issue Tracker Config: Sets up the mapping for GitHub, Linear, or local issues.
Docs Layout: Defines where PRDs, ADRs, and specs live.
Triage Labels: Configures the vocabulary for issue status.

Steps

Run this once when starting a new project.
The agent will ask for your preferred issue tracker and documentation structure.
It will create a CONVENTIONS.md or update AGENTS.md with these settings.

Plus depuis ce dépôt

même dépôt

agent-loop-trace

Andersonlimahw/ai-starter-kit

Visualize an agent's perceive→think→act loop. Inspects tool calls, latency per step, decision branches, retry patterns. Surfaces bottlenecks. Triggers on "trace agent", "why is agent slow", "agent loop analysis", "what did the agent do".

2026-05-301

context-budget

Andersonlimahw/ai-starter-kit

Compute context window budget for a prompt/agent — sums system prompt, tool descriptions, examples, conversation history; flags overruns; suggests cuts. Triggers on "context budget", "how much context", "will this fit", "budget my prompt".

2026-05-301

data-is-code

Andersonlimahw/ai-starter-kit

Treat dataset / eval JSONL as code — lint, validate schema, detect duplicates, leakage between train/eval, label imbalance, PII. Karpathy "Software 2.0" lens. Triggers on "audit dataset", "lint jsonl", "check for leakage", "validate eval data".

2026-05-301

eval-first

Andersonlimahw/ai-starter-kit

Enforce "evals over vibes" — before any prompt, agent, or model change, require an eval set with success criteria and baseline measurement. Blocks vibe-only changes. Triggers on "tune prompt", "improve agent", "change model" without prior eval set.

2026-05-301

eval-set-builder

Andersonlimahw/ai-starter-kit

Build a 10-30 case eval dataset from a PRD, skill, or prompt — covering golden path, edge cases, and adversarial inputs. Output as JSONL with input/expected/category. Triggers on "build eval set", "create evals", "generate test cases for prompt".

2026-05-301

first-principles

Andersonlimahw/ai-starter-kit

Break down any ML/AI concept to first principles — strip jargon, derive from basics, build physical/mathematical analogy. Karpathy intuition-building style. Triggers on "first principles", "explain like I'm 5", "derive from scratch", "why does X actually work".

2026-05-301

Exécutez n'importe quel Skill en un clic