collab-proof
Assisted retrospective: after a session, calibrates what Claude contributed vs what the developer drove. LLM-assessed 4-frame analysis with explicit rubric, zero dependencies.
Paquete de plugins · de dong7812
Resumen
collab-proof es un paquete de plugins para herramientas de programación con IA publicado por dong7812. Marketplaces que leemos y que lo publican: 1 (Community GitHub marketplaces). El último cambio que registramos fue el 2026-10-26. Según nuestra pasada por los marketplaces del 2026-10-26.
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 alirezarezvani/claude-skills
/plugin install collab-proof@claude-code-skills
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Marketplace de la comunidad alirezarezvani/claude-skills (Abrir el código en GitHub) | Publicado | 2.14.1 | Forks (GitHub): 3 987 Estrellas (GitHub): 28 744 |
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) |
|---|---|---|
| claude-code-skills | alirezarezvani/claude-skills | 28 744 |
Cómo han cambiado sus cifras
- 2026-10-154 mil
- 2026-10-164 mil
- 2026-10-174 mil
- 2026-10-184,1 mil
- 2026-10-204,1 mil
- 2026-10-214 mil
- 2026-10-224 mil
- 2026-10-234 mil
- 2026-10-254 mil
- 2026-10-264 mil
- 2026-10-1528,2 mil
- 2026-10-1628,3 mil
- 2026-10-1728,3 mil
- 2026-10-1828,4 mil
- 2026-10-2028,4 mil
- 2026-10-2128,5 mil
- 2026-10-2228,5 mil
- 2026-10-2328,6 mil
- 2026-10-2528,7 mil
- 2026-10-2628,7 mil
Cada punto es un día en que leímos un número distinto; los tramos planos son días en que el número no cambió. Las cifras de distintos marketplaces nunca se suman.
Qué contiene el paquete
Tal como se publica en Community GitHub marketplaces.
Skills: 1
collab-proof
Qué cambió
- Community GitHub marketplaces: publicó la versión 2.14.1 (antes 1.0.0)
- 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.
-
Retrospective analysis: session reports, collaborative retrospectives, and domain retrospectives
-
An agile retrospective skill for your Claude collaboration sessions. Capture what you learned. Apply the fix. Make the next session better.
-
Retrospective of one Claude Code session from its jsonl log, published as an artifact page: where the time went between the AI working and the person reading, thinking and typing…
-
Analyze Claude Code session logs to identify what went well, what didn't, and how to improve developer-AI collaboration. Suggests new skills, subagents, slash commands, hooks, and…
-
Structured, facilitated team reflection comparing expected vs. actual outcomes and identifying concrete improvements. Best for sprint retrospectives and post-launch reviews.
-
Self-improving measurement layer for Claude Code. Reads JSONL session data, computes effectiveness metrics, writes behavioral rules into CLAUDE.md.
-
Grade an agent setup from real conversation history — a rebuild of warpdotdev/common-skills' skill-doctor (MIT). Harvests recent local Claude Code and Codex sessions scoped to one…
-
team-assessment
Assess your product team's AI autonomy maturity across 6 dimensions. Generates team-assessment.md and radar-chart.svg.
-
Run structured multi-agent decision reviews with Codex, Claude Code, and adapter-based CLI agents.
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)
-
Self-improving measurement layer for Claude Code. Reads JSONL session data, computes effectiveness metrics, writes behavioral rules into CLAUDE.md.
-
Automatically tracks your Claude Code sessions, tool calls, edited files, and active time. Stores everything locally in SQLite — no cloud, no telemetry. Adds 9 MCP tools so Claude…
-
Engineering management layer for Claude Code --- structures your session like a real dev team where you're PM and Claude is EM. Provides session workflows, multi-persona code…
-
Product analytics for AI coding agents. Understand how users navigate your app — where they engage, hesitate, and drop off — then connect behavioral insights directly to code…
-
Context engineering plugin for Claude Code — real-time prompt scoring, RLM adaptive weights, and token optimization. Scores every tool use across 5 dimensions (token utilization…
Publicado en Claude Code: claude-plugins-official (5)
-
Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects…
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
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
-
Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until…
-
Detect AI agents in your codebase and instrument them with Pendo Agent Analytics via the best-fit path: Python SDK, TypeScript SDK, client-side trackAgent, or the Conversations…
Publicado en Claude: knowledge-work-plugins (5)
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
Bring Pendo product analytics into Claude Code: account health, feature adoption, session replay lookup and triage, feedback analysis, and data-informed planning grounded in real…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
-
Connects Claude Code to the Synthflow AI voice-agent platform through its hosted MCP server, with skills for reviewing calls and auditing agent prompts, plus a docs-search…
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.
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Answer product and business questions with data
-
Qodo setup, code intelligence, and review workflows.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
Publicado en Community GitHub marketplaces (5)
-
Retrospective analysis: session reports, collaborative retrospectives, and domain retrospectives
-
An agile retrospective skill for your Claude collaboration sessions. Capture what you learned. Apply the fix. Make the next session better.
-
Retrospective of one Claude Code session from its jsonl log, published as an artifact page: where the time went between the AI working and the person reading, thinking and typing…
-
Analyze Claude Code session logs to identify what went well, what didn't, and how to improve developer-AI collaboration. Suggests new skills, subagents, slash commands, hooks, and…
-
Structured, facilitated team reflection comparing expected vs. actual outcomes and identifying concrete improvements. Best for sprint retrospectives and post-launch reviews.
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Turn your Copilot sessions into proof of impact — research-grounded HTML reports with effort estimation, skills analysis, and ROI metrics from local session logs.
-
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…
-
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…
-
MCP server and 12 skills for product analysis, specification writing, strategy, narrative, and stakeholder alignment. Run competitive analyses, write zero-question specs, design…
Publicado en Copilot CLI: github/copilot-plugins (5)
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
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.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Advanced Security plugin for GitHub Copilot.
Publicado en Cursor: cursor/plugins (5)
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Skill mapping, practice plans, and learning retrospectives.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Track AI visibility, sentiment, and citations.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
Publicado en Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
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
Publicado en Official MCP Registry (5)
-
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
-
Context hygiene for Claude Code: drift detection, re-read dedup, and token analytics.
-
pm-claude-skills io.github.mohitagw15856/pm-claude-skills
1310 professional Agent Skills + workflow recipes — searchable & fetchable over MCP.
-
eng-leadership-toolkit coach.marian/eng-leadership-toolkit
Engineering leadership benchmarks, 1:1 playbooks, developer value calculator. 3,662 sessions.
-
Community of Consciousness MCP Server — upload and explore collective wisdom via GitHub.
Publicado en PyPI (MCP servers) (5)
-
hypermnesia-mcp io.github.cdeust/hypermnesia-mcp
Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
-
Read, measure and explain LLM eval runs of a digline suite. Cannot promote a baseline.
-
shortcut com.mcparmory/shortcut
Track stories, organize sprints, and manage project workflows across your team
Publicado en npm registry (MCP servers) (5)
-
review-assist-mcp io.github.uditk2/review-assist-mcp
Turns an AI coding agent session into a reviewable Intent Document, validated against the diff.
-
speclock io.github.sgroy10/speclock
AI Constraint Engine — enforces CLAUDE.md and .cursorrules as laws. 51 MCP tools.
-
codescene-mcp-server com.codescene/codescene-mcp-server
An MCP server that provides CodeScene Code Health analysis tools.
-
mistral-mcp io.github.Swih/mistral-mcp
Mistral MCP server: extract invoices and documents from text, Markdown or OCR into typed JSON.
-
Shared project memory for Claude Code, Codex and Cursor: decisions, corrections, overlap warnings.
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.