superpowers
claudecodexCore skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
Objective verdicts (verify-repair), autopilot hooks, token routing, 9 subagents, subagent orchestration and self-improvement.
Plugin jarvis-harness from marketplace jarvis-254 in Ignvvcio254/Jarvis-254-Agent. Commands read from the repo's manifest — 26 days 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.
agent-upliftSystem that makes cheap/free models deliver frontier-class TASK RESULTS through a harness (compiled specs, generate→verify→repair loop, decomposition, evidence-based routing and per-model anti-patterns). Use when raising the quality of workers (other CLIs, subagents, gateway models), running an upli
bucle-agenticoAgentic loop: execute complex features in phases, mapping the real context BEFORE each phase. The key idea: DON'T generate every subtask up front — map context just in time and generate subtasks from the system's actual state. Activate when the task touches multiple coordinated files, needs DB + cod
field-lessonsField-tested engineering laws distilled from real production incidents of an AI agent working 24/7 (verification, silent failures, deploys, migrations, hooks, security, diagnosis). Load BEFORE claiming something is done/verified/deployed, when debugging a "works but doesn't" symptom, writing guards/
jarvis-evolvePermanent self-improvement loop — audits signals (project logs, anti-patterns, memory, session failures, local skills, eval bench), diagnoses gaps, proposes improvements to the user, applies the approved ones and measures. Includes the "frontier-level reasoning through context" doctrine to lift any
long-run-harnessMethod for LONG work that spans several sessions (a module, a migration, a big feature): an initialiser session creates a feature list with pass flags, a progress file and a bootstrap script; every later session resumes, does ONE feature, verifies it with evidence and commits. Use when the work does
multi-cliOrchestrate external agent CLIs (Antigravity/AGY, OpenCode, Codex…) in visible terminals with a human supervising. File-based task dispatch, compact .done signals, transcript monitoring, collision-free parallel work. Use when the user asks to delegate work to other CLIs or to "dispatch" multi-CLI ta
prpPlan a complex feature before implementing it. Generates a PRP (Product Requirements Proposal) with goal, expected behaviour, data model and implementation phases. Activate ALWAYS before bucle-agentico, when the task involves multiple coordinated files/phases, or when the user says: plan this, give
scratchpadThe agent's working memory — its own notes during long tasks + detection of user corrections + propagation to the right memory layer. Fixes fragmentation (knowledge that lives in only one place). Activate on multi-phase tasks, when the user corrects you, or when closing a significant session.
subagent-orchestrationOrchestrate subagents (Agent/Task) with a context firewall, the fan-out→synthesize pattern and a rubric grader (Performance Outcomes). Use when a task is massively parallel, long, or benefits from isolated context windows — multi-source research, multi-file refactors, multi-perspective review, bench
token-routerDecide the MINIMUM sufficient model for each task/subtask before executing or delegating. Token savings by difficulty — never default to the most powerful model. Trivial→Haiku/free model, standard→Sonnet, complex→Opus. Activate when planning work, delegating to workers (other CLIs, subagents), or on
verify-repairOBJECTIVE verdict gate before reporting any delivery. A task is not done because the model says so, but because an executable signal confirms it (exit code, test, lint, grep, screenshot). Includes a repair loop with a critic separate from the generator. Activate when closing any code task, fix, buil
/jarvis-harness:consumoReporte de consumo estimado de tokens en la sesión actual. Propone modo Caveman si el usuario lo aprueba.
/jarvis-harness:doctorDiagnostica el estado de instalación portable de Jarvis y detecta faltantes críticos.
/jarvis-harness:eval-jarvisMeasure the agent against objective tests of its own rules (prompt injection, destructive actions, secrets, verify-before-report, no hallucination, concision)
/jarvis-harness:memoriaOpera el wiki interno de Jarvis — Sistema Global. Subcomandos: ingest (default), query, lint.
architectDecisiones de arquitectura y diseño de sistemas — elegir entre enfoques, definir límites entre módulos, evaluar trade-offs de escalabilidad, seguridad y mantenimiento. Úsalo cuando haya una decisión estructural que sería cara de revertir. No escribe código.
build-error-resolverDiagnostica y corrige errores de build, TypeScript, lint o tests que fallan. Úsalo cuando `npm run build`, `tsc`, `eslint` o la suite de tests no pasan. Arregla de a un error y verifica cada vez.
code-reviewerRevisa código recién escrito o modificado (git diff) buscando bugs, calidad y mantenibilidad. Úsalo PROACTIVAMENTE después de escribir o editar código y antes de cualquier commit. Solo lee y reporta; nunca edita.
doc-updaterActualiza documentación (README, docs, comentarios de API, CHANGELOG) para que refleje el código actual tras un cambio. Úsalo después de implementar una feature o cambiar un comportamiento público.
plannerConvierte una feature o refactor complejo en un plan de implementación por fases, con riesgos y criterio de verificación por fase. Úsalo PROACTIVAMENTE al recibir una petición grande que toca varios archivos. No escribe código.
security-reviewerAnaliza seguridad de código que toca autenticación, autorización, entrada de usuario, SQL, archivos, APIs externas, criptografía o pagos. Úsalo ANTES de commitear ese tipo de cambios. Solo lee y reporta.
silent-failure-hunterCaza fallos silenciosos en código recién escrito o modificado — errores tragados, valores por defecto que ocultan una falla, respuestas "ok" con datos vacíos cuando el origen falló, streams cortados presentados como completos. Úsalo PROACTIVAMENTE después de escribir manejo de errores, llamadas a re
tdd-guideGuía el desarrollo dirigido por pruebas (RED → GREEN → REFACTOR) para features nuevas y corrección de bugs. Úsalo PROACTIVAMENTE al empezar una feature o un fix: primero la prueba que falla, después el código mínimo.
worker-lowEjecutor de tareas acotadas y mecánicas que llegan con spec completo — editar archivos, correr comandos de verificación, crear rutas siguiendo una plantilla existente. Sonnet con effort bajo, para que una tarea barata cueste barato. NO usarlo para diseño, arquitectura, investigación abierta ni decis
sh "${CLAUDE_PLUGIN_ROOT}/hooks/run-py.sh" "${CLAUDE_PLUGIN_ROOT}/hooks/session_boot.py"
sh "${CLAUDE_PLUGIN_ROOT}/hooks/run-py.sh" "${CLAUDE_PLUGIN_ROOT}/hooks/archetype_router.py"
sh "${CLAUDE_PLUGIN_ROOT}/hooks/run-py.sh" "${CLAUDE_PLUGIN_ROOT}/hooks/correction_detector.py"
sh "${CLAUDE_PLUGIN_ROOT}/hooks/run-py.sh" "${CLAUDE_PLUGIN_ROOT}/hooks/destructive_guard.py"
sh "${CLAUDE_PLUGIN_ROOT}/hooks/run-py.sh" "${CLAUDE_PLUGIN_ROOT}/hooks/precompact_checkpoint.py"
sh "${CLAUDE_PLUGIN_ROOT}/hooks/run-py.sh" "${CLAUDE_PLUGIN_ROOT}/hooks/verdict_guard.py"
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
CMEM Pro for the Claude app - hooks stream tool use to cmem.ai and inject observations into new sessions and agents
3 skills · 1 MCP server · hooks
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.
3 skills · 6 commands · 1 MCP server · hooks
Build powerful, stateful CLI interfaces for any GUI application using the cli-anything harness methodology.
5 commands
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.