rlaope/bestwork-agent

Última actividad de origen registrada: 25 de abril de 2026 a las 00:59

Catálogo de SkillsMP actualizado: 9 de noviembre de 2026 a las 14:22

skills recopiladas: 23

Estrellas en GitHub: 1
Forks en GitHub: 0

Instalar con un asistente de IA

Copia este prompt en el asistente de IA que estés usando.

Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/rlaope/bestwork-agent.

README del repositorio

Archivo de origen del README: README.md

Leer el README original

Mostrar README completo

# bestwork-agent Work like a corporation team, not just a club. Your AI agent gets the org chart, the quality gates, and the team reviews that real engineering orgs use. <p align="center"> <img src="https://img.shields.io/npm/v/bestwork-agent?color=cyan" alt="npm version" /> <img src="https://img.shields.io/github/license/rlaope/bestwork-agent" alt="license" /> <img src="https://img.shields.io/github/stars/rlaope/bestwork-agent?style=social" alt="stars" /> </p> <p align="center"> <a href="README.md">English</a> · <a href="README.ko.md">한국어</a> · <a href="README.ja.md">日本語</a> </p> --- ## The problem Your AI agent works alone. It hallucinates, loops, misses requirements, and you find out too late. 45% of AI-generated code contains vulnerabilities (Veracode). Vibe-coded apps fail because nobody validated the idea before building. **bestwork-agent** organizes your AI agent the way top unicorn companies organize their engineering teams — and bolts on the quality gates those teams rely on, so the work that ships is actually trustworthy. ## How the team forms itself bestwork analyzes every prompt and picks the right team shape before any code is written. ``` You: "Refactor the auth module to support OAuth2" bestwork analyzes → large scope, architecture decision, security-sensitive bestwork selects → Hierarchy: Security Team ┌─────────────────────────────────────────────────────┐ │ CISO │ │ "Attack surface acceptable. Approve with │ │ condition: rotate existing JWT secrets on deploy." │ │ ▲ final decision │ │ Tech Lead │ │ "OAuth2 PKCE flow is correct. Consolidate the │ │ two token refresh paths into one." │ │ ▲ architecture review │ │ Sr. Security Engineer │ │ "Implementation secure. Added CSRF protection. │ │ Input validation on redirect_uri." │ │ ▲ implementation + hardening │ │ Jr. QA Engineer │ │ "Found: /callback doesn't handle expired state │ │ param. Added test for token replay attack." │ │ ▲ fresh eyes + edge cases │ └─────────────────────────────────────────────────────┘ ``` ``` You: "Add a dark mode toggle to the settings page" bestwork analyzes → single feature, localized scope, fast feedback needed bestwork selects → Squad: Feature Squad ┌──────────────────────────────────────────────────────┐ │ Feature Squad (parallel) │ │ │ │ Sr. Backend Sr. Frontend Product Lead │ │ "API endpoint "Toggle component "Matches │ │ for user prefs with CSS vars, user story. │ │ ready. Tests accessible." Ship it." │ │ passing." │ │ QA Lead │ │ "Tested light/dark │ │ + system pref. │ │ All green." │ │ │ │ Verdict: all APPROVE → merged │ └──────────────────────────────────────────────────────┘ ``` ``` You: "Why did my last session struggle?" bestwork analyzes → observability request, not coding bestwork selects → data analysis Session Outcome — b322dc3e ✗ struggling Duration: 45m Calls/Prompt: 38 (high — avg is 12) Loop detected: Edit → Bash(test fail) → Edit × 6 on auth.ts Root cause: missing import caused test failure loop. Recommendation: use ./strict to force read-before-edit. ``` ## How the team picks its shape bestwork mirrors how the best engineering organizations operate. **Hierarchy** — for decisions that need authority levels ``` CTO → Tech Lead → Sr. Engineer → Jr. Engineer ``` Junior implements first (fresh perspective catches obvious issues), seniors refine, leads review architecture, C-level makes final strategic calls. Each level can send work back down. **Squad** — for tasks that need speed and collaboration ``` Backend + Frontend + Product + QA (all equal) ``` Everyone works in parallel. No single authority. Consensus-driven. Fast. **The gateway picks automatically** from task signals: - Simple fix / rename / format → **solo** (one agent, no overhead) - Two related sub-tasks → **pair** (one agent per task + critic) - Multiple sub-tasks → **trio** (tech + PM + critic per task, parallel) - Large scope / cross-directory / architecture → **hierarchy** (CTO → Lead → Senior → Junior) - Single feature / bugfix / localized → **squad** (flat, consensus-driven) - Security-sensitive files → security team - Infra / CI/CD files → infra squad For non-solo work, the gateway shows you the plan and lets you confirm, adjust, or drop to solo. ## The quality gates the team runs on Team structure alone isn't enough — AI agents still hallucinate. Every action routes through quality gates that real engineering teams rely on. | Gate | When | What it catches | |------|------|-----------------| | **Grounding** | PreToolUse (Edit/Write) | Editing files the agent hasn't read | | **Scope lock** | PreToolUse | Edits outside the locked directory | | **Strict mode** | PreToolUse | `rm -rf`, `git push --force` | | **Type check** | PostToolUse (Edit/Write) | TypeScript errors after every change | | **Review** | On demand / PostToolUse | Fake imports, hallucinated methods, platform mismatch, deprecated APIs | | **Requirement check** | PostToolUse (Edit/Write) | Unmet requirements from clarify/validate sessions | | **Verifier** | After author's pass | Separate-pass completion check with fresh evidence table | | **Validate** | Before building | Evidence-based go/no-go — is this feature worth building? | All gates run automatically. You just type your prompt. ## Proof: harness ON vs OFF ``` ═══════════════════════════════════ HARNESS EFFECTIVENESS BENCHMARK ═══════════════════════════════════ Scenarios: 13 Accuracy: 100.0% Harness ON: Catch rate: 100% (10/10) False pos: 0 Harness OFF (vanilla): Catch rate: 0% (0/10) Categories: hallucination 3/4 caught platform 4/4 caught deprecated 1/1 caught security 1/1 caught ═══════════════════════════════════ ``` Run it yourself: `npm run benchmark` ## Install ### Option 1: Claude Code Plugin (recommended) ```bash /plugin marketplace add https://github.com/rlaope/bestwork-agent /plugin install bestwork-agent ``` ### Option 2: npm ```bash npm install -g bestwork-agent bestwork install ``` ## 50 Domain Specialists ```bash bestwork agents # full catalog ``` **25 Tech**: backend, frontend, fullstack, infra, database, API, mobile, testing, security, performance, devops, data, ML, CLI, realtime, auth, migration, config, agent-engineer, plugin, accessibility, i18n, graphql, monorepo, writer **10 PM**: product, API, platform, data, infra, migration, security, growth, compliance, DX **15 Critic**: performance, scalability, security, consistency, reliability, testing, hallucination, DX, type safety, cost, accessibility, devsecops, i18n, agent, verifier Agent prompts live in `prompts/` — edit without rebuilding. ## 22 Skills Natural language or slash command — the gateway routes automatically. | Skill | What it does | |-------|-------------| | `validate` | Evidence-based feature validation before building | | `clarify` | Targeted requirement questions before execution | | `review` | Hallucination and platform mismatch scan | | `trio` | Parallel execution with quality gates | | `plan` | Scope analysis and team recommendation | | `delegate` | Autonomous execution without confirmation | | `deliver` | Persistent completion — retry until done | | `waterfall` | Sequential staged processing with gates | | `blitz` | Maximum parallelism burst | | `doctor` | Deploy config vs code integrity check | | `pipeline-run` | Queue and auto-process multiple GitHub issues | | `superthinking` | 1000-iteration thought simulation | And 10 more: agents, changelog, docs, health, install, meetings, onboard, sessions, status, update. ## vs. other tools | | bestwork-agent | CrewAI | MetaGPT | Vanilla Claude Code | |---|---|---|---|---| | **Target** | Claude Code users | General Python | General Python | Everyone | | **Integration** | Native hooks (zero config) | Separate runtime | Separate runtime | Built-in | | **Team structure** | Auto (hierarchy/squad/trio/pair/solo) | Manual | Manual | None | | **Hallucination catch** | 100% (10/10 benchmark) | No built-in | No built-in | 0% | | **Overhead** | ~0 (shell hooks) | 3x tokens | 2-5x tokens | 0 | | **Feature validation** | Built-in (validate skill) | None | None | None | | **Requirement tracking** | Auto (clarify → PostToolUse) | Manual | Manual | None | ## Harness Controls ``` ./scope src/auth/ Lock edits to directory ./unlock Remove lock ./strict Block rm -rf, force read-before-edit ./relax Disable strict ./tdd add user auth Test-driven development flow ./review Hallucination scan ./validate Is this feature worth building? ./clarify Requirement deep-check before execution ``` ## Observability ```bash bestwork # TUI dashboard bestwork sessions # Session list bestwork heatmap # 365-day activity grid bestwork loops # Loop detection bestwork replay <id> # Session playback bestwork effectiveness # Prompt efficiency trend ``` ## Notifications ``` ./discord <webhook_url> ./slack <webhook_url> ``` Rich notifications per prompt: summary, git diff, review results, session health. Color-coded green/yellow/red. ## Security Everything is local. No data leaves your machine. See [SECURITY.md](SECURITY.md). ## Contributing See [CONTRIBUTING.md](CONTRIBUTING.md). ## License [MIT](LICENSE)

Cargando el README del repositorio…

Skills en este repositorio

Desarrolladores de software Especialistas en gestión de proyectos Administradores de redes y sistemas informáticos Analistas de garantía de calidad de software y probadores

12 categorías ocupacionales · 100% clasificado

skill

ocupación

descripción

actualizado

trace

Ajustadores, examinadores e investigadores de reclamaciones

Evidence-driven causal tracing — competing hypotheses, falsification, rebuttal round, recommended next probes