agent-starter
Skills, hooks, templates, and engineering guides for bootstrapping AI-agent-friendly projects, with a per-project self-improvement loop. Bundles the /new-project and…
Lot de plugins · par Nick Sawinyh
Aperçu
agent-starter est un lot de plugins pour les outils de code IA publié par Nick Sawinyh. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Nous l'avons vu pour la première fois le 2026-11-06 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-11-07.
Skills, hooks, templates, and engineering guides for bootstrapping AI-agent-friendly projects, with a per-project self-improvement loop. Bundles the /new-project and /adopt-project scaffolding skills plus commit, simplify, reflect, remember, and dream.
Ce qu'il demande
- S'installe comme lot de plugins
- Hooks : 9
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 sneg55/agent-starter
/plugin install agent-starter@agent-starter
Où il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire sneg55/agent-starter (Ouvrir la source sur GitHub) | Référencé | 0.4.10 | Forks (GitHub): 4 Étoiles (GitHub): 74 |
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) |
|---|---|---|
| agent-starter | sneg55/agent-starter | 74 |
Quelles places de marché nous lisons et comment nous les vérifions
Ce que contient le lot
Tel que publié sur Community GitHub marketplaces.
Skills: 8
adopt-projectcommitcommit-push-prdreamnew-projectreflectremembersimplify
Hooks: 5
PostToolUsePreToolUseSessionStartStopUserPromptSubmit
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.
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
AI Agent Harness Engineering: bootstrap, audit, and evolve a reliable 6-layer agent harness for any project. Generates AGENTS.md, hooks (type-check, .env protection, auto-format…
-
Strict, routed architectural guardrails for AI coding agents, powered by ParselFire Core.
-
Build a repo-local skill plus an iterated coding-agent workflow, prompt, and memory file
-
Universal multi-agent project harness for Claude Code — run any project through a structured AI team from discovery to release.
-
Analyze any repository and generate AI-ready configuration — AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates…
-
project-scaffolder-synaptic-edition
Generate a complete project knowledge base from a single brief, then orchestrate development with an AI project leader, quality pipeline, and skills that learn from experience…
-
Git-native context for AI coding agents. Archcore turns your repository into structured, machine-readable context — so AI agents understand your architecture, rules, and decisions.
-
Teach your AI coding agent the MASA (Modular Agentic Semantic Architecture) framework — maximizes how well agents can understand, navigate, and safely modify your codebase.
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)
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
AI Agent Harness Engineering: bootstrap, audit, and evolve a reliable 6-layer agent harness for any project. Generates AGENTS.md, hooks (type-check, .env protection, auto-format…
-
Universal multi-agent project harness for Claude Code — run any project through a structured AI team from discovery to release.
-
project-scaffolder-synaptic-edition
Generate a complete project knowledge base from a single brief, then orchestrate development with an AI project leader, quality pipeline, and skills that learn from experience…
-
Git-native context for AI coding agents. Archcore turns your repository into structured, machine-readable context — so AI agents understand your architecture, rules, and decisions.
Référencé sur Claude Code: claude-plugins-official (5)
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
-
Analyze codebases and recommend tailored Claude Code automations such as hooks, skills, MCP servers, and subagents.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.
Référencé sur Claude: knowledge-work-plugins (5)
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Bring Qodo's codebase intelligence, coding standards, and code review into your coding agent.
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
Official Buildkite skills for Claude Code, Cursor, and other AI coding agents — pipelines, migration, preflight, agent runtime, CLI, and API
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
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.
-
AI-powered code review in Codex, powered by CodeRabbit.
-
Inspect repositories, triage pull requests and issues, debug CI, and publish changes through a hybrid GitHub connector and CLI workflow.
Référencé sur Community GitHub marketplaces (4)
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Strict, routed architectural guardrails for AI coding agents, powered by ParselFire Core.
-
Build a repo-local skill plus an iterated coding-agent workflow, prompt, and memory file
-
Analyze any repository and generate AI-ready configuration — AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates…
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Analyze any repository and generate AI-ready configuration — AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates…
-
Meta prompts that help you discover and generate curated GitHub Copilot agents, instructions, prompts, and skills.
-
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…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Model, visualize, and deploy applications with Radius from the GitHub Copilot app and CLI.
Référencé sur 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.
-
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.
Référencé sur Cursor: cursor/plugins (5)
-
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…
-
Build apps, scripts, and automations with the TypeScript SDK.
-
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.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
Référencé sur 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.
-
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
-
Give your AI agents trusted access to the full Postman platform.
-
Tools and resources for writing Effect code in Typescript.
Référencé sur Official MCP Registry (5)
-
Analyzes codebases with tree-sitter and generates AGENTS.md files for AI coding agents.
-
PAPI: Persistent Adaptive Project Intelligence
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
-
Gives AI agents the function they asked for, not the file. Commercial use needs a license.
-
Client teams' blueprints for coding agents (token from an engagement). Free: agentblueprint.ai/mcp
-
Checks whether your idea already exists before your agent builds it. Searches GitHub, npm, Python.
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).
-
repo-graph io.github.James-Chahwan/repo-graph
Structural graph map of any codebase so LLMs navigate by structure, not guesswork.
-
lineai-mcp-server io.github.lineai-intelligence/lineai-mcp-server
An MCP Server to utilize Lineai's rich software dependency data in your AI programming assistant.
Référencé sur npm registry (MCP servers) (5)
-
PAPI: Persistent Adaptive Project Intelligence
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
-
AI-powered virtual IT department via MCP — codebase intelligence, 9-agent scrum team, sprint management, and React dashboard in one npm package
-
Automatic development memory for AI coding agents: turns your Claude Code, Codex, Gemini, Cursor, Copilot, Cline, Devin, OpenCode, Antigravity and Kimi Code sessions into…
-
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
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.