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Found 78 Skills
一键安装自定义状态行脚本到 ~/.claude，显示模型、Git状态、上下文使用率、成本和worktree信息
Runs ML experiments reproducibly — single runs or autonomous BFS batches. Single mode: isolated venv, time-budgeted, failure-handled, logs to RESEARCH.md. BFS mode (opt-in): designs N hypotheses, runs each for a fixed budget, compares via a single verifiable metric, keeps improvements and git-resets failures — fully autonomous until done. Respects the RESEARCH.md supervision policy for notifications, approvals, and stop limits. Trigger phrases: "run experiment", "train model", "explore design space", "find best config", "autoresearch".
Tauri Project Creation Wizard. Use case: Create new Tauri applications
Lance une réunion simulée avec plusieurs personas experts pour analyser un sujet sous des perspectives diverses, prendre une décision et proposer une solution avant implémentation. Peut optionnellement publier l'analyse de la réunion sur une issue GitLab ou GitHub liée.
Capture idea or task as todo from current conversation context
Initialize Python Project (New or Fork). Use when the user wants to create a new production-ready Python/ML project structure, or fork and enhance an existing project. Uses uv for environment management.
GainForest beads (`bd`) planning workflow. Activates on ALL user work requests — task planning, epic management, claiming work, closing tasks with commit links, handling blockers. Use before writing any code.
Work with the @upstash/box TypeScript/JavaScript SDK for sandboxed cloud containers with AI agents, shell, filesystem, and git. Use when building with Upstash Box, creating sandboxed environments, running AI agents in containers, or orchestrating parallel boxes.
[Hyper] Update semantic versions across node/rust/python projects, keep discovered version files synchronized, and prefer the installed `git-commit` skill for the final git step with a direct fallback when it is unavailable.
Append conversation context to cumulative project history - never overwrites
Set up and run an autonomous experiment loop for any optimization target. Gathers what to optimize, then starts the loop immediately. Use when asked to "run autoresearch", "optimize X in a loop", "set up autoresearch for X", or "start experiments".
Guide for setup Codemap CLI for intelligent codebase visualization and navigation