Plugins de Claude Code
590 plugins de marketplaces públicos de Claude Code. Cada uno agrupa skills, comandos de barra, agentes, hooks o MCP servers que se instalan juntos.
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NIH grant-funding intelligence skill. RePORTER/NOSI/study-section navigation, R01/R21/K-award strategy. Research-pack convention. Path-B from megaprompt 11.
Decision-grade entity research. Due-diligence/background-check/competitor-prep with tier-weighted verdict + citation tracker. Research-pack convention. Path-B from megaprompt 02.
Patent prior-art + IP landscape skill. FTO/novelty/family-resolver via 3-pass Jaccard heuristic. Research-pack convention. Path-B from megaprompt 12.
Course supplementary-reading skill. Topic-grouper + bundled Node.js DOCX generator for syllabus-anchored reading lists. Research-pack convention. Path-B from megaprompt 10.
Google NotebookLM browser-automation skill. 4 actions (read/extract, add-source, Studio outputs, create notebook). Screenshot-first + find-before-click + fire-and-notify async discipline. Path-B from megaprompt 03.
Research orchestrator (hybrid router + fallback). Deterministic SIGNALS classification routes to 6 specialists (pulse/litreview/grants/dossier/patent/syllabus) at >=2 signals, else runs own 8-step plan-decompose-search-synthesize-cite fallback. Routing transparency mandatory. Path-B from megaprompt 13.
Nightly offline self-evolution for this repo's Claude agent: harvests past Claude Code sessions (read-only), mines recurring tasks, replays them offline on your own API budget, and consolidates learnings into validated CLAUDE.md memory and SKILL.md skills behind a held-out gate, staged for review (never auto-applied). Verbatim vendor of microsoft/SkillOpt's stdlib-only skillopt_sleep engine + Claude Code plugin surface (MIT).
A universal scraping skill with intelligent routing, token budget tracking, and quota awareness. Supports Firecrawl (BYOK, free-tier compatible) and local Python extraction via requests/BeautifulSoup/pandas.
Personal Claude power-user coach. Delivers a personalized, ranked cheat-code glossary on first activation, then surfaces at most one tip per turn when it would genuinely improve the next attempt. Ships cheat-codes glossary, coaching-rules decision tree, three stdlib Python tools, cs-claude-coach agent, and /cs-claude-coach command.
Docs-anchored grilling session — interrogates a plan against the project's existing language (CONTEXT.md) and recorded decisions (docs/adr/), updating those files inline as terminology and decisions crystallise. Derived from Matt Pocock's MIT-licensed grill-with-docs with stdlib validators (CONTEXT.md linter, ADR scanner, glossary-code consistency), reference docs, cs-grill-with-docs agent, and /cs-grill-with-docs command.
Human-verification gate for an agent loop: builds a single-file review page (the page itself makes no network request; a reviewed HTML artifact's own https: assets still load), collects batched feedback as structured batch.v1 data instead of chat prose, and refuses to close while a BLOCKER is open, the reviewer is unnamed, or nobody has reviewed. Non-blocking, headless-guarded, round-capped. Stdlib-only.
Knowledge base compiled from OpenAI's Spinning Up in Deep RL (MIT, Joshua Achiam) by engineering/book-to-skill. A resident core carries the RL optimization problem, the model-free taxonomy, the policy-gradient template with its five valid weights, the safe-step family (VPG to TRPO to PPO) and the overestimation family (DDPG to TD3 and SAC); 20 on-demand chapters cover key concepts and MDPs, the algorithm taxonomy and model bias, the policy gradient derivation with the log-derivative trick and EGLP lemma, Achiam's researcher essay, the key-papers topic map, the exercises including the silent DDPG broadcasting bug, the benchmark parity disclosure, one chapter per algorithm, and the logger/MPI/ExperimentGrid utilities. Ships a glossary, a patterns file with 16 techniques, a decision cheatsheet with thresholds, a cs-spinning-up-deep-rl agent and /cs-spinning-up-deep-rl. Structured study notes, not a reproduction of the source.
Complete operations kit for FairDB PostgreSQL as a Service - VPS setup, PostgreSQL management, customer provisioning, monitoring, and backup automation
Production-grade plugin creator with marketplace-validated quality standards. 4 Agent Skills automate creating, validating, auditing, and versioning plugins in the claude-code-plugins marketplace
CloudBase platform capabilities: AI, auth, databases, cloud functions, storage, CloudRun, and Mini Program integration.
Festival Methodology: goal-oriented project management for human-AI development workflows. Provides fest and camp CLI integration, automatic installation, and methodology guidance.
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
Dependency auditing, version management, and security vulnerability scanning
Pre-deployment checks, configuration validation, and deployment readiness assessment
SOC2, HIPAA, and GDPR compliance validation, secrets scanning, compliance checklists, and regulatory documentation