LLM Mart Basic

Discover and reference other camps, projects, and files across camp boundaries. Use when the user mentions another camp or campaign by name, references work done "in another project/camp", or needs to find/copy/compare code across camps.

Execute active festival tasks. Use when finding the next task, marking tasks completed/blocked/reset, committing with festival traceability, advancing workflow steps, and validating sequence progress.

Use when the user mentions festivals, the fest CLI, phases, sequences, or tasks, or when working inside a `festivals/` directory. Provides the core Festival methodology model so Claude understands the planning system.

Plan and scaffold festivals. Use when creating festival/phase/sequence/task structure, enforcing naming rules, linking festivals to projects, and promoting lifecycle states.

Create and run lightweight standalone `WORKFLOW.md` loops with `fest create workflow`, `fest next`, and `fest workflow advance`. Use when a user wants step-by-step workflow guidance inside any ordinary directory, explore/design work item, project folder, or thin-start workflow.

Route work that is too large for a single chat into a structured plan. Use when the user describes a multi-step build, a migration, a rewrite, an audit, a refactor across many files, or a research question with several threads. Use when a goal would otherwise need step-by-step su

Navigate a camp with `cgo` and `camp go`. Use when you need to move between projects/festivals/workflow directories, switch context quickly, or resolve script-safe paths with `camp go --print`.

Manage a camp's projects. Use when committing inside `projects/*`, deciding status/pull/push scope (root vs submodule vs all), or creating/removing project worktrees.

Find, filter, choose, create, or adopt camp work items with `camp workitem`, `camp wi`, or `camp workitems`. Use when a user wants current active work across intents, designs, explore notes, festivals, or tracked workflow directories; when agents need safe `camp workitem --json`

Choose the correct commit command in a camp, also called a campaign. Use when you are about to commit and need to select `camp commit`, `camp p commit`, `fest commit`, or intentional root pointer sync via `camp refs-sync`.

Orient within a camp's directory structure. Use when deciding where work belongs (intents vs festivals vs design vs docs vs dungeon), especially when a task is not yet planned or folder ownership is unclear.

Manage a camp's intents, dungeons, and workflow collections with `camp`. Use when capturing ideas, promoting intents to festivals, archiving work, or moving workflow items between statuses.

Discover and reference other camps, projects, and files across camp boundaries. Use when the user mentions another camp or campaign by name, references work done "in another project/camp", or needs to find/copy/compare code across camps.

Execute active festival tasks. Use when finding the next task, marking tasks completed/blocked/reset, committing with festival traceability, advancing workflow steps, and validating sequence progress.

Use when the user mentions festivals, the fest CLI, phases, sequences, or tasks, or when working inside a `festivals/` directory. Provides the core Festival methodology model so Claude understands the planning system.

Plan and scaffold festivals. Use when creating festival/phase/sequence/task structure, enforcing naming rules, linking festivals to projects, and promoting lifecycle states.

Create and run lightweight standalone `WORKFLOW.md` loops with `fest create workflow`, `fest next`, and `fest workflow advance`. Use when a user wants step-by-step workflow guidance inside any ordinary directory, explore/design work item, project folder, or thin-start workflow.

Route work that is too large for a single chat into a structured plan. Use when the user describes a multi-step build, a migration, a rewrite, an audit, a refactor across many files, or a research question with several threads. Use when a goal would otherwise need step-by-step su

lunar.dev: Agent native MCP Gateway for governance and security

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing

A green PR, a controller reporting success, and not one line of the new code running

Analyze Python async code for correctness, patterns, and potential issues.

Profile Python code for performance bottlenecks using cProfile, memory_profiler, or py-spy.

Evaluate public API surfaces against guidelines and exemplars.

Principal-level architecture assessment against ADRs and design patterns.

Systematic bug detection with language-specific expertise.

Run a detailed review that picks its dimensions from what the codebase and diff contain.

Active security hardening of the existing codebase, with a report and concrete proposals to apply.

Audit Makefiles for best practices and portability.

Intensive mathematical analysis for numerical stability and correctness.

Static-analysis hot-spot review for time and space complexity.

Analyze code quality across 6 dimensions (duplication, algorithms, clean code, architecture, errors, style) and apply fixes.

Expert-level Rust audits for safety and correctness.

Audit shell scripts for correctness, safety, and portability.

View recent skill executions with full context and error details.

Analyze skill execution metrics and identify unstable or underperforming skills.

Evaluate and upgrade test suites with TDD/BDD rigor.

Run a computer use task on the desktop via Claude's vision and action API

Stage changes, generate conventional commit message, commit, and push to current branch. One-shot git add-commit-push.

Draft a Conventional Commit message for staged changes. Analyzes diffs, classifies change type, and formats scope/body.

Create git release tags from merged PRs or version args. Pushes a v-prefixed tag to trigger the release pipeline, then confirms the run started.

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.