Génère un rapport narratif « Voyage au cœur de [Projet] » en analysant tout l'historique de développement d'un projet à partir de la chronologie de claude-mem. À utiliser lorsqu'on vous demande un rapport chronologique, une analyse de l'historique du projet, un parcours de développement ou un rapport complet du projet.
Cette compétence (skill) pour agents IA, nommée timeline-report, permet de générer un rapport narratif détaillé intitulé « Voyage au cœur de [Projet] ». Il analyse en profondeur tout l'historique de développement d'un projet logiciel à partir des données temporelles enregistrées par l'outil claude-mem. L'objectif est de fournir une vue d'ensemble cohérente et chronologique de l'évolution du projet, en mettant en évidence les étapes clés, les décisions architecturales, les changements majeurs et la progression globale. Cette compétence est particulièrement utile pour les développeurs ou les chefs de projet souhaitant obtenir une rétrospective complète et narrative de leur travail, par exemple lors d'une revue de projet, d'une rétrospective d'itération, ou pour documenter l'histoire d'un codebase. Elle fonctionne en interrogeant la base de données de claude-mem (qui enregistre automatiquement les événements de développement) et en synthétisant ces informations en un rapport structuré et lisible.
npx skills add https://github.com/thedotmack/claude-mem/tree/main/skills/timeline-reportInstalled? Explore more Recherche et analyse de données skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Génère un rapport narratif « Voyage au cœur de [Projet] » analysant tout l'historique de développement d'un projet à partir de la chronologie de claude-mem. À utiliser lorsqu'on vous demande un rapport chronologique, une analyse de l'historique du projet, un parcours de développement ou un rapport complet du projet.
This repo contains 11 individual skills — each has its own dedicated page.
Watch a pull request or review cycle until it is ready to merge. Use when asked to babysit, monitor, or keep checking PR comments, reviews, and CI until all actionable issues are resolved.
Automated semantic versioning and release workflow for Claude Code plugins. Handles version increments across package.json, marketplace.json, plugin.json manifests, build verification, git tagging, GitHub releases, and changelog generation. NPM publishing (so `npx [email protected]` resolves) is handed off to the human maintainer, who raised npm security.
Execute a phased implementation plan using subagents. Use when asked to execute, run, or carry out a plan — especially one created by make-plan.
Explain how claude-mem captures observations, when memory injection kicks in, and where data lives. Use when the user asks "how does claude-mem work?" or "what is this thing doing?".
Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
Prime a codebase by reading every source file in full. Use when starting work on a new or unfamiliar project, or when the user asks to "learn the codebase", "read the codebase", "prime", or "get up to speed".
Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do.
Search claude-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions.
Map a codebase into feature-grouped flowcharts, identify duplicated concerns across features, and propose a unified architecture. Use when asked to "find the ideal path," unify duplicated systems, or audit architecture before a refactor. Emits a proposed unified flowchart plus per-system /make-plan prompts.
Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.
Turn one document into a kawaii NotebookLM slide-deck PDF. Use for "wowerpoint this", "make a deck about <file>", "turn this report into slides", or any request to render a single document as shareable narrative slides.
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.