Que fait analyze-project ?
Compétence d'agent 'analyze-project' de lllllllama/rigorpilot-skills.
Compétence d'agent 'analyze-project' de lllllllama/rigorpilot-skills.
Cette compétence pour agent, nommée 'analyze-project', permet à un agent IA de réaliser une analyse approfondie de la structure et de la configuration d'un projet logiciel. Elle est utile pour comprendre rapidement l'architecture d'un dépôt, identifier les technologies utilisées, les dépendances principales et les conventions de codage. La compétence fonctionne en naviguant dans les fichiers racine du projet (comme README, package.json, setup.py, etc.) et en extrayant des informations clés. Elle supporte idéalement les agents comme Claude Code, Cursor ou Codex. En résumé, elle fournit un résumé structuré du projet pour aider l'agent à prendre des décisions éclairées lors de tâches de développement ou de maintenance.
npx skills add https://github.com/lllllllama/rigorpilot-skills/tree/main/skills/analyze-projectInstalled? Explore more Recherche et analyse de données skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Compétence d'agent 'analyze-project' de lllllllama/rigorpilot-skills.
This repo contains 10 individual skills — each has its own dedicated page.
Agent skill 'ai-research-explore' from lllllllama/rigorpilot-skills.
Agent skill 'ai-research-reproduction' from lllllllama/rigorpilot-skills.
Agent skill 'env-and-assets-bootstrap' from lllllllama/rigorpilot-skills.
Agent skill 'explore-code' from lllllllama/rigorpilot-skills.
Agent skill 'explore-run' from lllllllama/rigorpilot-skills.
Agent skill 'minimal-run-and-audit' from lllllllama/rigorpilot-skills.
Agent skill 'paper-context-resolver' from lllllllama/rigorpilot-skills.
Agent skill 'repo-intake-and-plan' from lllllllama/rigorpilot-skills.
Agent skill 'run-train' from lllllllama/rigorpilot-skills.
Agent skill 'safe-debug' from lllllllama/rigorpilot-skills.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.