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.
Пакет плагинов · от dong7812
Коротко
collab-proof: пакет плагинов для ИИ-инструментов разработки, издатель dong7812. Витрин, которые мы читаем и где он опубликован: 1 (Community GitHub marketplaces). Последнее изменение мы зафиксировали 2026-10-26. Данные нашего прохода по витринам на 2026-10-26.
Что просит
- Ставится как пакет плагинов
Ни одна из витрин, которые мы читаем, не публикует его инструменты или настройки, которые он просит.
Что объявляет, просит и запускает, полностью
Устанавливайте плагины только от разработчиков, которым доверяете. Мы показываем то, что публикуют витрины, и не проверяем плагины.
Работает с
- Claude Code
По маркетплейсам, где он опубликован, и объявленному транспорту MCP, как их документирует каждый клиент. Плагины мы не тестируем.
Подключить
Команды и конфигурации собраны только из того, что объявляют витрины. Мы не запускаем их за вас и не проверяем плагины.
Как плагин Claude Code
Собрано из того, что объявляет Community GitHub marketplaces.
/plugin marketplace add alirezarezvani/claude-skills
/plugin install collab-proof@claude-code-skillsГде опубликован
| Витрина | Статус | Версия | Числа | Проверен | Впервые замечен |
|---|---|---|---|---|---|
| Маркетплейс сообщества alirezarezvani/claude-skills (Открыть исходники на GitHub) | Опубликован | 2.14.1 | Форки (GitHub): 3 987 Звёзды (GitHub): 28 744 |
Не помечен |
Каждое число принадлежит своей витрине и никогда не складывается с числами других витрин. Если витрина число не публикует, мы его не показываем: нет числа не значит ноль.
Есть в одном маркетплейсе сообщества
| Витрина | Репозиторий | Звёзды (GitHub) |
|---|---|---|
| claude-code-skills | alirezarezvani/claude-skills | 28 744 |
Как менялись числа
- 2026-10-154 тыс.
- 2026-10-164 тыс.
- 2026-10-174 тыс.
- 2026-10-184,1 тыс.
- 2026-10-204,1 тыс.
- 2026-10-214 тыс.
- 2026-10-224 тыс.
- 2026-10-234 тыс.
- 2026-10-254 тыс.
- 2026-10-264 тыс.
- 2026-10-1528,2 тыс.
- 2026-10-1628,3 тыс.
- 2026-10-1728,3 тыс.
- 2026-10-1828,4 тыс.
- 2026-10-2028,4 тыс.
- 2026-10-2128,5 тыс.
- 2026-10-2228,5 тыс.
- 2026-10-2328,6 тыс.
- 2026-10-2528,7 тыс.
- 2026-10-2628,7 тыс.
Каждая точка: день, когда мы прочитали другое число; ровные участки: дни, когда число не менялось. Числа разных витрин никогда не складываются.
Что входит в пакет
Так опубликовано на витрине Community GitHub marketplaces.
Скиллы: 1
collab-proof
Что менялось
- Community GitHub marketplaces: выпущена версия 2.14.1 (была 1.0.0)
- Стал продуктом, за которым мы следим
- Community GitHub marketplaces: появился
Похожие плагины
Продукты, чьи собственные названия, описания, инструменты и скиллы ближе всего по смыслу к этому, на всех витринах, которые мы читаем. Близость упорядочена только внутри этого списка.
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Retrospective analysis: session reports, collaborative retrospectives, and domain retrospectives
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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…
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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…
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Structured, facilitated team reflection comparing expected vs. actual outcomes and identifying concrete improvements. Best for sprint retrospectives and post-launch reviews.
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Self-improving measurement layer for Claude Code. Reads JSONL session data, computes effectiveness metrics, writes behavioral rules into CLAUDE.md.
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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…
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team-assessment
Assess your product team's AI autonomy maturity across 6 dimensions. Generates team-assessment.md and radar-chart.svg.
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Audit your CLAUDE.md, skills, subagents and prompts for hidden branching logic: scores, hot sections, and hints for skills that will never trigger.
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Run structured multi-agent decision reviews with Codex, Claude Code, and adapter-based CLI agents.
Похожие плагины по витринам
Тот же вопрос к каждой витрине по отдельности: есть ли там аналог этого плагина?
Есть на витрине Claude Code: claude-plugins-community (5)
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Self-improving measurement layer for Claude Code. Reads JSONL session data, computes effectiveness metrics, writes behavioral rules into CLAUDE.md.
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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…
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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…
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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…
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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…
Есть на витрине 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…
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Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
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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
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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…
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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…
Есть на витрине 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.
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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…
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Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
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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…
Есть на витрине 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.
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An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
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Answer product and business questions with data
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Qodo setup, code intelligence, and review workflows.
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Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
Есть на витрине 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.
Есть на витрине 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…
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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…
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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…
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MCP server and 12 skills for product analysis, specification writing, strategy, narrative, and stakeholder alignment. Run competitive analyses, write zero-question specs, design…
Есть на витрине 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.
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Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
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Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
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workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
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Advanced Security plugin for GitHub Copilot.
Есть на витрине Cursor: cursor/plugins (5)
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
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Skill mapping, practice plans, and learning retrospectives.
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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.
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Track AI visibility, sentiment, and citations.
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Iterative self-referential AI loops using the Ralph Wiggum technique.
Есть на витрине Docker MCP Catalog (5)
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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.
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Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
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Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
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MCP server for terminal commands, file operations, and process management
Есть на витрине Official MCP Registry (5)
-
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
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Context hygiene for Claude Code: drift detection, re-read dedup, and token analytics.
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pm-claude-skills io.github.mohitagw15856/pm-claude-skills
1310 professional Agent Skills + workflow recipes — searchable & fetchable over MCP.
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eng-leadership-toolkit coach.marian/eng-leadership-toolkit
Engineering leadership benchmarks, 1:1 playbooks, developer value calculator. 3,662 sessions.
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Community of Consciousness MCP Server — upload and explore collective wisdom via GitHub.
Есть на витрине PyPI (MCP servers) (5)
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hypermnesia-mcp io.github.cdeust/hypermnesia-mcp
Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
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Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
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Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
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Read, measure and explain LLM eval runs of a digline suite. Cannot promote a baseline.
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shortcut com.mcparmory/shortcut
Track stories, organize sprints, and manage project workflows across your team
Есть на витрине npm registry (MCP servers) (5)
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review-assist-mcp io.github.uditk2/review-assist-mcp
Turns an AI coding agent session into a reviewable Intent Document, validated against the diff.
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speclock io.github.sgroy10/speclock
AI Constraint Engine — enforces CLAUDE.md and .cursorrules as laws. 51 MCP tools.
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codescene-mcp-server com.codescene/codescene-mcp-server
An MCP server that provides CodeScene Code Health analysis tools.
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mistral-mcp io.github.Swih/mistral-mcp
Mistral MCP server: extract invoices and documents from text, Markdown or OCR into typed JSON.
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Shared project memory for Claude Code, Codex and Cursor: decisions, corrections, overlap warnings.
Найдено по смыслу, а не по общему коду или репозиторию: похожие плагины остаются разными продуктами, и это не обзор и не рекомендация.
Хотите такой знак у своего плагина в нашем каталоге?
Докажите, что поддерживаете его, файлом в репозитории, файлом на вашем домене или DNS-записью, и сможете показать этот знак на карточке, а ещё живые баннеры для сайта и README. Как проходит подтверждение
Ещё вы будете получать уведомления, когда витрина добавит плагин, снимет его, изменит отметку verified или список того, что он просит, а его удалённый endpoint встанет на мониторинг как веб-сервис.
Данные витрины Community GitHub marketplaces. Числа взяты из наших регулярных обходов витрин, последняя проверка . Контакты издателей плагинов мы не публикуем.