Execute qualquer Skill no Manus
com um clique

Execute qualquer Skill no Manus com um clique

diagnose

Estrelas1

Forks0

Atualizado9 de maio de 2026 às 18:28

Debugging phase. Guided loop for hard bugs: reproduce, minimize, hypothesize, instrument, fix. Trigger: "/diagnose", "diagnose this bug", "debug this".

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

Executar no Manus

Fonte

Andersonlimahw

Andersonlimahw/ai-starter-kit

Abrir repositório GitHub Ver repositórios do creator

Download

Executar no Manus

Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

SKILL.md

readonly

name	diagnose
description	Debugging phase. Guided loop for hard bugs: reproduce, minimize, hypothesize, instrument, fix. Trigger: "/diagnose", "diagnose this bug", "debug this".

Diagnose Skill

Apply the scientific method to squash complex bugs.

The Guided Loop

Reproduce: Create a minimal script or test that fails 100% of the time.
Minimize: Strip away unrelated code until only the bug remains.
Hypothesize: Formulate a theory on why it's happening.
Instrument: Add logs or debugger breakpoints to prove the hypothesis.
Fix: Apply the surgical fix and verify with the reproduction script.

Rules

Do not guess. Prove the root cause before fixing.
Document the findings in a DEBUG.md or as a comment.
Ensure the fix doesn't break existing tests.

Mais deste repositório

mesmo repositório

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

Execute qualquer Skill com um clique