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42 skills 840 estrelas no total GitHub ↗

Skills publicadas

Mostrando 12 de 42

judge

20

Research-supervisor review of program.md — validates experimental methodology (hypothesis clarity, measurement validity, control adequacy, scope, strategy fit), emits APPROVED / NEEDS-REVISION / BLOCKED verdict before expensive run loop.

Pesquisa e Web #ai #python por Borda

integration

20

Manage codemap integration — 'check' audits installation health (scan-query reachable, index fresh, injection present), 'init' onboards codemap by discovering skills/agents, recommending injection sites, and wiring them in.

Automação #ai #python por Borda

brainstorm

20

Iterative brainstorming skill for turning fuzzy ideas into approved tree documents. Diverges into branches, deepens and prunes them over many rounds, saves a tree doc. Run breakdown on the tree to distill it into a spec via guided questions.

Documentos #ai #python por Borda

analyse

20

Analyze GitHub issues, Pull Requests (PRs), Discussions, and repo vitality for an Open Source Software (OSS) project. For any specific item, casts a wide net — finds and lists all related open and closed issues/PRs/discussions, explicitly flags duplicates. Summarizes long threads, extracts reproduction steps, and generates repo vitality stats. Uses gh Command Line Interface (CLI) for GitHub Applic

Desenvolvimento #ai #git por Borda

calibrate

20

Minimal codex-native calibration loop. Use to detect leaks or major gaps across mirrored skills and agents with fixed checks.

Desenvolvimento #ai #python por Borda

research

20

Minimal codex-native research loop. Use for docs/papers/state-of-the-art scan with source-backed recommendations.

Pesquisa e Web #ai #python por Borda

plan

20

Analysis-only planning — classify and scope a task without writing code; outputs a structured plan to .plans/active/.

Desenvolvimento #ai #python por Borda

analyse

20

Minimal codex-native analysis loop. Use for issue/PR/problem analysis before implementation with measurable gates.

Desenvolvimento #ai #python por Borda

resolve

20

Minimal codex-native resolve loop. Use to apply review findings, rerun checks, and publish unresolved gaps with measurable gates.

Desenvolvimento #ai #python por Borda

fix

20

Reproduce-first bug resolution — capture bug in failing regression test, apply minimal fix, run quality stack and review loop.

Desenvolvimento #ai #python por Borda

review

20

Minimal codex-native review loop. Use for local diff review with measurable quality gates and a JSON artifact.

Desenvolvimento #ai #python por Borda

refactor

20

Test-first refactoring — audit coverage, add characterization tests, apply changes with safety net, run quality stack and review loop.

Desenvolvimento #ai #python por Borda