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Found 378 Skills
When the boundaries are clear, directly implement code, tests and necessary documentation, and complete the implementation and closure with minimal interruptions
Karl Marx's thinking framework and critical methodology. Epistemological principles, decision heuristics, rhetorical devices and polemic engines are extracted from 17 core works, to analyze social phenomena, economic issues and political events from Marx's perspective. Trigger WHEN: "from Marx's perspective", "what would Marx think", "Marx mode", "historical materialism analysis", "help me analyze from Marx's angle", "switch to Marx".
2-layer parallel agent hierarchy. Layer 1 deploys 3-50+ agents, each with independent context. Layer 2 adds 2+ sub-agents per member. No upper limit on either layer.
Scaffold a loop directory for automated agent task execution. Use when asked to "create a task loop", "set up a loop", "scaffold a loop directory", "prepare tasks for rl", or "set up automated execution" for a backlog. Takes an existing backlog and generates PROMPT.md (loop contract), run-log.md (execution history), and .gitignore for ephemeral loop-state.md.
Optimizer that refines and professionalizes AI agent skills through real usage — saves tokens, eliminates redundancy, and tightens instructions so skills cost less to run. Learns from mistakes, reviews quality, and improves over time. Observes skill execution in the current conversation, analyzes up to four sources (conversation friction, file diffs, user feedback, static diagnostic) plus accumulated lessons, and proposes concrete improvements to the target skill's SKILL.md. Works with Claude Code and compatible SKILL.md-based agent frameworks. Use after executing any skill: `/skill-optimizer [name]` or `/skill-optimizer` to auto-detect. `--review` processes accumulated lessons.
Use this skill when the user asks to "evaluate MCP tools", "test tool selection", "improve tool descriptions", "check MCP schema quality", "eval my MCP server", or wants to measure whether Claude uses their MCP tools correctly. Tests tool selection accuracy, analyzes schema quality, and iteratively optimizes descriptions. Companion to build-mcp-server.
Generate anime-style video prompts for Seedance 2.0 (Higgsfield). Use this when users want anime, Japanese animation style, shonen manga action, seinen manga drama, magical girl, mecha, isekai, slice-of-life anime, or any Japanese animation aesthetics. Trigger conditions: anime, Japanese animation, shonen manga, seinen manga, manga-style video, anime fight, anime opening, anime ending, cherry blossoms, chibi, cute style, mecha, isekai, or any anime-style request. Even phrases like "make it look like anime" or "Japanese cartoon style".
Enhance text storyboards into Seedance 2.0 video prompts one by one. Call this when the text storyboard is completed and needs to be converted into executable video prompts.
· Turn notes into structured LLM prompts or improve existing prompts. Triggers: 'write a prompt', 'system prompt', 'prompt template', 'prompt engineering', 'rewrite this prompt'. Not for skills or routines.
Page-level slide prompting skill. Converts DESIGN.md and slide_plan.json into detailed slide-generation prompts in JSON while preserving theme, body-slide consistency, and layout discipline.
Shape conversation context (or a fresh task description) into a 5-part brief — Context / Task / Constraints / Verification / Output format — ready to hand off to an agent. Use when the user is ready to execute a task and wants it structured first. Composes naturally with /grill-me upstream, but works standalone too. Triggers: "/create-brief", "draft a brief", "shape this into a brief", "turn this into a task spec", "write a brief for this".
Engineer system prompts for LiveKit voice agents with multilingual support. Use when creating or optimizing AI agent conversation flows.