token-reduce
Token-efficiency workflow for Claude Code — cuts discovery and follow-up context by 60-90% using QMD BM25 path helpers and RTK output compression.
Paquete de plugins · de chimera-defi
Resumen
token-reduce es un paquete de plugins para herramientas de programación con IA publicado por chimera-defi. Marketplaces que leemos y que lo publican: 1 (Community GitHub marketplaces). Lo vimos por primera vez el 2026-10-15 y desde entonces no hemos registrado cambios. Según nuestra pasada por los marketplaces del 2026-10-16.
Qué pide
- Se instala como paquete de plugins
Ninguno de los marketplaces que leemos publica sus herramientas ni los ajustes que pide.
Lo que declara, pide y ejecuta, completo
Instala solo plugins de desarrolladores en los que confíes. Mostramos lo que publican los marketplaces y no probamos plugins.
Funciona con
- Claude Code
Según los marketplaces que lo listan y el transporte MCP que declara, tal como lo documenta cada cliente. No probamos plugins.
Conectar
Comandos y configuraciones generados solo a partir de lo que declaran sus marketplaces. No los ejecutamos por ti ni probamos plugins.
Como plugin de Claude Code
Generado a partir de lo que declara Community GitHub marketplaces.
/plugin marketplace add chimera-defi/token-reduce-skill
/plugin install token-reduce@chimera-defi
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Marketplace de la comunidad chimera-defi/token-reduce-skill (Abrir el código en GitHub) | Publicado | 0.1.2 | Forks (GitHub): 1 Estrellas (GitHub): 3 |
Sin marca |
Cada cifra es del propio marketplace y nunca se suma entre marketplaces. Un marketplace que no publica cifras no muestra ninguna: sin número no es cero.
Figura en un marketplace de la comunidad
| Marketplace | Repositorio | Estrellas (GitHub) |
|---|---|---|
| chimera-defi | chimera-defi/token-reduce-skill | 3 |
Qué contiene el paquete
Tal como se publica en Community GitHub marketplaces.
Servidores MCP: 1
token-reduce-mcp
Skills: 1
token-reduce-review
Qué cambió
- Pasó a ser un producto que seguimos
- Community GitHub marketplaces: apareció
Plugins similares
Productos cuyos propios nombres, descripciones, herramientas y skills son los más cercanos a este por su significado, en todos los marketplaces que leemos. La cercanía se ordena solo dentro de esta lista.
-
A Claude Code plugin that routes text-heavy tasks to the right Claude model — saving tokens without sacrificing quality. Why Planning, CLAUDE.md generation, README writing, and…
-
Automatic token optimization for Claude Code. Compresses tool output 40–60%, shows a live token meter in the statusline, auto-compacts at 70% context, builds a self-updating…
-
Two skills that help you understand and optimize your Claude Code context window. Inspect Context gives you a full token breakdown by source (files, history, skills, MCP configs…
-
Local audit of Claude Code token usage. Nine detectors (Opus-on-simple, context rot, CLAUDE.md bloat, hook bloat, skill-description overhead, Bash anti-patterns, tool-schema…
-
Read large logs, JSON and docs in a fraction of the tokens. Offline, fact-preserving optimizer.
-
prompt-squeeze builds prompt-cost discipline into Claude Code via three surfaces: /squeeze skill that compresses a verbose prompt into a token-efficient equivalent and renders a…
-
Optimize your CLAUDE.md hierarchy — deduplicate content, detect misplacement, compress bloat, and visualize token usage across global/project/repo levels.
-
Audit and optimize Claude Code context window usage. Runs a 9-phase analysis covering plugins, hooks, CLAUDE.md cascade, MCP servers, environment settings, zombie process…
-
Pre-execution cost estimation for LLM agent workflows with calibration learning
Plugins similares por marketplace
La misma pregunta a cada marketplace por separado: ¿hay allí un equivalente de este plugin?
Publicado en Claude Code: claude-plugins-community (5)
-
A Claude Code plugin that routes text-heavy tasks to the right Claude model — saving tokens without sacrificing quality. Why Planning, CLAUDE.md generation, README writing, and…
-
Automatic token optimization for Claude Code. Compresses tool output 40–60%, shows a live token meter in the statusline, auto-compacts at 70% context, builds a self-updating…
-
Two skills that help you understand and optimize your Claude Code context window. Inspect Context gives you a full token breakdown by source (files, history, skills, MCP configs…
-
prompt-squeeze builds prompt-cost discipline into Claude Code via three surfaces: /squeeze skill that compresses a verbose prompt into a token-efficient equivalent and renders a…
-
Optimize your CLAUDE.md hierarchy — deduplicate content, detect misplacement, compress bloat, and visualize token usage across global/project/repo levels.
Publicado en Claude Code: claude-plugins-official (5)
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects…
-
Langfuse observability plugin for Claude Code — captures and exports traces, spans, and session telemetry from Claude Code to Langfuse for LLM monitoring, debugging, and evaluation
-
Precise local semantic code search via MCP. Indexes your codebase with Go AST parsing, embeds with Ollama or LM Studio, and exposes vector search to Claude through an MCP server…
-
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Publicado en Claude: knowledge-work-plugins (5)
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Bring Qodo's codebase intelligence, coding standards, and code review into your coding agent.
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
Publicado en Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
AI-powered code review in Codex, powered by CodeRabbit.
-
Qodo setup, code intelligence, and review workflows.
-
Inspect repositories, triage pull requests and issues, debug CI, and publish changes through a hybrid GitHub connector and CLI workflow.
Publicado en Community GitHub marketplaces (4)
-
Automatic token optimization for Claude Code. Compresses tool output 40–60%, shows a live token meter in the statusline, auto-compacts at 70% context, builds a self-updating…
-
Local audit of Claude Code token usage. Nine detectors (Opus-on-simple, context rot, CLAUDE.md bloat, hook bloat, skill-description overhead, Bash anti-patterns, tool-schema…
-
Read large logs, JSON and docs in a fraction of the tokens. Offline, fact-preserving optimizer.
-
Pre-execution cost estimation for LLM agent workflows with calibration learning
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with…
-
Shows live prompt-cache reuse, expiry, token composition, and AI Credit cost for the current GitHub Copilot session without making model calls.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
Publicado en Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Advanced Security plugin for GitHub Copilot.
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
Publicado en Cursor: cursor/plugins (5)
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Generate presentations, documents, and webpages.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
Publicado en Docker MCP Catalog (5)
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
MCP server for terminal commands, file operations, and process management
-
Production-ready RAG service to search and retrieve data from your documents.
-
Tools and resources for writing Effect code in Typescript.
Publicado en Official MCP Registry (5)
-
Read large logs, JSON and docs in a fraction of the tokens. Offline, fact-preserving optimizer.
-
Pre-execution cost estimation for LLM agent workflows with calibration learning
-
Token counting, RAG chunking, truncation, HTML to Markdown and JSON repair
-
Static linter for AI prompts: contradictions, redundancy, ambiguity, and fluff.
-
Context hygiene for Claude Code: drift detection, re-read dedup, and token analytics.
Encontrados por significado, no por código ni repositorio compartidos: los plugins similares siguen siendo productos distintos, y esto no es una reseña ni una recomendación.
¿Quieres esta marca para tu plugin en nuestro catálogo?
Demuestra que lo mantienes con un archivo en su repositorio, un archivo en tu dominio o un registro DNS, y podrás mostrar esta marca en la ficha, con banners en vivo para tu web y tu README. Cómo funciona la verificación
Además recibirás avisos cuando un marketplace lo publique, lo retire, cambie su marca verificada o lo que pide, y su endpoint remoto quedará monitorizado como un servicio web.
Datos de Community GitHub marketplaces. Las cifras proceden de nuestros propios recorridos periódicos por los marketplaces, leída por última vez el . No publicamos datos de contacto de los editores de plugins.