parable
Multi-model coding orchestration: plan, route to the cheapest capable executor model, verify with code, review with fresh eyes.
Lot de plugins · par Parcha Labs
Aperçu
parable est un lot de plugins pour les outils de code IA publié par Parcha Labs. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Le dernier changement enregistré date du 2026-11-08. Selon notre passage sur les places de marché du 2026-11-09.
Ce qu'il demande
- S'installe comme lot de plugins
Aucune des places de marché que nous lisons ne publie ses outils ni les réglages qu'il demande.
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Fonctionne avec
- Claude Code
D'après les marketplaces qui le listent et le transport MCP qu'il déclare, tels que chaque client les documente. Nous ne testons pas les plugins.
Connecter
Commandes et configurations construites uniquement à partir de ce que déclarent ses places de marché. Nous ne les exécutons pas pour vous et ne testons pas les plugins.
En plugin Claude Code
Construit à partir de ce que déclare Community GitHub marketplaces.
/plugin marketplace add parcha-ai/parcha-skills
/plugin install parable@unc-skills
Où il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire parcha-ai/parcha-skills (Ouvrir la source sur GitHub) | Référencé | 0.1.33 | Forks (GitHub): 10 Étoiles (GitHub): 132 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Listé dans une place de marché communautaire
| Place de marché | Dépôt | Étoiles (GitHub) |
|---|---|---|
| unc-skills | parcha-ai/parcha-skills | 132 |
Quelles places de marché nous lisons et comment nous les vérifions
Évolution de ses chiffres
- 2026-11-057
- 2026-11-068
- 2026-11-0810
- 2026-11-0470
- 2026-11-05106
- 2026-11-06131
- 2026-11-08132
Chaque point est un jour où nous avons lu un autre nombre ; les paliers sont des jours sans changement. Les chiffres de places de marché différentes ne sont jamais additionnés.
Ce que contient le lot
Tel que publié sur Community GitHub marketplaces.
Skills: 1
parable
Ce qui a changé
- Est devenu un produit que nous suivons
- Community GitHub marketplaces: apparu
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
Orchestrate OpenAI Codex from Claude through supervised checkpoint slices, server-enforced quality gates, persistent plans and hypotheses, worktree isolation, and per-task model…
-
A Codex meta-skill that designs domain-specific agent teams and reusable skills with bounded parallel orchestration.
-
Compile a proven skill (a SKILL.md plus references) into a deterministic pipeline that runs without an LLM in the loop, then serve the compiled pipelines back to Claude as MCP…
-
Conductor v3 — Multi-agent orchestration with Evaluate-Loop, parallel execution, Board of Directors, and bundled SupaConductor skills for Claude Code
-
O cc-orchestrador-subagents transforma o Claude Code em um gerente técnico de execução, não em "mais um agente que programa". A skill assume que toda mudança relevante de software…
-
Generate ready-to-paste Claude Code prompts with the right agent, orchestration pattern, and safety rails. Orchestrator synthesises patterns from 6 open-source projects into a…
-
Planning and execution workflows for Claude Code. Based on obra/superpowers.
-
Turns OpenAI Codex into a pool of parallel agent workers inside Claude Code. Each worker runs in its own git worktree so parallel edits don't collide. Resumable sessions via…
-
Spec-driven development, deep thinking, and code quality workflows
-
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…
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
O cc-orchestrador-subagents transforma o Claude Code em um gerente técnico de execução, não em "mais um agente que programa". A skill assume que toda mudança relevante de software…
-
Generate ready-to-paste Claude Code prompts with the right agent, orchestration pattern, and safety rails. Orchestrator synthesises patterns from 6 open-source projects into a…
-
Coordinate parallel Claude Code sessions for complex features. Alpha plans the effort and assigns tasks. Beta and Gamma build in separate terminals. Delta verifies. Each session…
-
Harness leverages Claude Code's agent team system to decompose complex tasks into coordinated teams of specialized agents. Say "build a harness for this project" and it…
-
Multi-agent task orchestration for Claude Code. Decomposes complex development tasks into parallel Claude Code agents coordinated through dependency-aware waves with visual…
Référencé sur Claude Code: claude-plugins-official (5)
-
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…
-
Superpowers teaches Claude brainstorming, subagent driven development with built in code review, systematic debugging, and red/green TDD. Additionally, it teaches Claude how to…
-
Comprehensive toolkit for developing Claude Code plugins. Includes 7 expert skills covering hooks, MCP integration, commands, agents, and best practices. AI-assisted plugin…
-
Help Claude Code champions run hackathons and office hours, find patterns worth sharing, help teammates climb the steps of AI adoption, and write a shareable AI maturity report.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
Référencé sur Claude: knowledge-work-plugins (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Bring Qodo's codebase intelligence, coding standards, and code review into your coding agent.
-
Official Buildkite skills for Claude Code, Cursor, and other AI coding agents — pipelines, migration, preflight, agent runtime, CLI, and API
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
Référencé sur 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.
-
Qodo setup, code intelligence, and review workflows.
-
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.
Référencé sur Community GitHub marketplaces (5)
-
Orchestrate OpenAI Codex from Claude through supervised checkpoint slices, server-enforced quality gates, persistent plans and hypotheses, worktree isolation, and per-task model…
-
A Codex meta-skill that designs domain-specific agent teams and reusable skills with bounded parallel orchestration.
-
Compile a proven skill (a SKILL.md plus references) into a deterministic pipeline that runs without an LLM in the loop, then serve the compiled pipelines back to Claude as MCP…
-
Conductor v3 — Multi-agent orchestration with Evaluate-Loop, parallel execution, Board of Directors, and bundled SupaConductor skills for Claude Code
-
Planning and execution workflows for Claude Code. Based on obra/superpowers.
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
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…
-
Premium planning, thrifty implementation
-
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…
-
Model, visualize, and deploy applications with Radius from the GitHub Copilot app and CLI.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
code-apps-preview
Build and deploy Power Apps code apps using React, Vite, and Power Platform connectors.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Complete bundle: all Microsoft Skills for Fabric for developers and consumers.
Référencé sur Cursor: cursor/plugins (5)
-
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.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
-
Skills for building on the Cursor Origin API. Fetch the live spec first, then follow the Origin rules for credentials, scopes, webhooks, paging, and errors. Includes a skill that…
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
Référencé sur Docker MCP Catalog (5)
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
-
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
-
Tools and resources for writing Effect code in Typescript.
-
MCP server for terminal commands, file operations, and process management
Référencé sur Official MCP Registry (5)
-
One system around coding agents to run, verify, recover, and hand off software work.
-
Grow your skills with AI: per-skill coaching inside Claude, ChatGPT, Cursor and Codex
-
mistral-mcp io.github.Swih/mistral-mcp
Mistral MCP server: extract invoices and documents from text, Markdown or OCR into typed JSON.
-
Multi-model AI orchestration MCP server with code review, compare, and debate tools.
-
Delegate coding tasks to the OpenAI Codex CLI, installed separately, with explicit model and effort.
Référencé sur PyPI (MCP servers) (5)
-
Gives AI agents the function they asked for, not the file. Commercial use needs a license.
-
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
-
MCP knowledge layer for MiniStack — plug into any IDE AI (Claude Desktop, Cursor, Continue, Devin, Cline).
-
memex io.github.STiFLeR7/memex
Temporal engineering context for agents via MCP.
-
hypermnesia-mcp io.github.cdeust/hypermnesia-mcp
Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
Référencé sur npm registry (MCP servers) (5)
-
One system around coding agents to run, verify, recover, and hand off software work.
-
jev_classify, jev_check, jev_score, jev_rank, jev_ask over MCP, plus the /jev skill.
-
mistral-mcp io.github.Swih/mistral-mcp
Mistral MCP server: extract invoices and documents from text, Markdown or OCR into typed JSON.
-
Your AI mind directs coding agents; work reviewed against your memories: Claude Code, Codex, Cursor
-
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
Vous voulez cette marque pour votre plugin dans notre catalogue ?
Prouvez que vous le maintenez avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS, et vous pourrez afficher cette marque sur la fiche, avec des bannières à jour pour votre site et votre README. Comment se passe la vérification
Vous recevez aussi des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de Community GitHub marketplaces. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.