提示词与推理

提示词工程、角色设定和推理模式

312 個 Skills 可用

Skills 列表

ponytail-audit

ponytail-audit

83Kprompting-reasoning

Whole-repo audit for over-engineering. Like ponytail-review, but scans the entire codebase instead of a diff: a ranked list of what to delete, simplify, or replace with stdlib/native equivalents. Use when the user says "audit this codebase", "audit for over-engineering", "what can I delete from this repo", "find bloat", "ponytail-audit", or "/ponytail-audit". One-shot report, does not apply fixes.

dietrichgebert avatardietrichgebert
獲取
interview-me

interview-me

78Kprompting-reasoning

Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified ("build me X" without "for whom" or "why now"), when the user explicitly invokes ("interview me", "grill me", "are we sure?", "stress-test my thinking"), or when you catch yourself silently filling in ambiguous requirements before any plan, spec, or code exists.

addyosmani avataraddyosmani
獲取
cavecrew

cavecrew

75Kprompting-reasoning

>

juliusbrussee avatarjuliusbrussee
獲取
caveman-stats

caveman-stats

75Kprompting-reasoning

>

juliusbrussee avatarjuliusbrussee
獲取
caveman-commit

caveman-commit

73Kprompting-reasoning

>

juliusbrussee avatarjuliusbrussee
獲取
caveman-review

caveman-review

73Kprompting-reasoning

>

juliusbrussee avatarjuliusbrussee
獲取
caveman-help

caveman-help

73Kprompting-reasoning

>

juliusbrussee avatarjuliusbrussee
獲取
cli-chat

cli-chat

72Kprompting-reasoning

Send chat completions, stream responses, and start an interactive REPL session from the CLI. Supports all OmniRoute providers, combo routing, and system prompt configuration.

diegosouzapw avatardiegosouzapw
獲取
omni-inference

omni-inference

72Kprompting-reasoning

The core OpenAI-compatible inference endpoints: chat completions, embeddings, images, audio (TTS/STT), moderations, rerank, and the Responses API. The primary integration surface for AI agents.

diegosouzapw avatardiegosouzapw
獲取
omni-settings

omni-settings

72Kprompting-reasoning

Read and update global application settings: system prompts, thinking budget, IP filters, payload rules, combo defaults, and require-login configuration.

diegosouzapw avatardiegosouzapw
獲取
caveman

caveman

72Kprompting-reasoning

>

juliusbrussee avatarjuliusbrussee
獲取
openspec-update-change

openspec-update-change

67Kprompting-reasoning

Update an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Never edits code.

fission-ai avatarfission-ai
獲取
bmad-forge-idea

bmad-forge-idea

53Kprompting-reasoning

Test a half-formed idea in a questioning conversation, with different personas probing its weak points, until the user can act on it or drop it with confidence. Optionally writes a short brief for planning skills to build on. Use when the user says 'forge an idea', 'pressure-test this idea', 'stress-test my thinking', or 'harden this idea'

bmad-code-org avatarbmad-code-org
獲取
bmad-build-auto

bmad-build-auto

53Kprompting-reasoning

One iteration of an unattended development loop. Use when invoked by name

bmad-code-org avatarbmad-code-org
獲取
bmad-party-mode

bmad-party-mode

53Kprompting-reasoning

Orchestrates lively group discussions between installed BMAD agents or custom personas, and helps author custom parties. Use when the user requests party mode, a roundtable, or multiple agent perspectives — or wants to create/configure a party, define personas, or build an AI focus-group panel

bmad-code-org avatarbmad-code-org
獲取
bmad-agent-pm

bmad-agent-pm

53Kprompting-reasoning

Product manager for PRD creation and requirements discovery. Use when the user asks to talk to John or requests the product manager

bmad-code-org avatarbmad-code-org
獲取
prompt-engineering-patterns

prompt-engineering-patterns

47Kprompting-reasoning

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.

sickn33 avatarsickn33
獲取
blockrun

blockrun

47Kprompting-reasoning

BlockRun works with Claude Code and Google Antigravity.

sickn33 avatarsickn33
獲取
prompt-engineering

prompt-engineering

46Kprompting-reasoning

Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.

sickn33 avatarsickn33
獲取
ai-agents-architect

ai-agents-architect

46Kprompting-reasoning

Expert in designing and building autonomous AI agents. Masters tool

sickn33 avatarsickn33
獲取
prompt-engineer

prompt-engineer

45Kprompting-reasoning

Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW)

sickn33 avatarsickn33
獲取
consciousness-council

consciousness-council

42Kprompting-reasoning

Run a multi-perspective Mind Council deliberation on any question, decision, or creative challenge. Use this skill whenever the user wants diverse viewpoints, needs help making a tough decision, asks for a council/panel/board discussion, wants to explore a problem from multiple angles, requests devil's advocate analysis, or says things like "what would different experts think about this", "help me think through this from all sides", "council mode", "mind council", or "deliberate on this". Also trigger when the user faces a dilemma, trade-off, or complex choice with no obvious answer.

k-dense-ai avatark-dense-ai
獲取
prompt-optimizer

prompt-optimizer

40Kprompting-reasoning

Turn any rough prompt, half-formed idea, or task description into a finished, ready-to-send prompt optimized for any LLM model inside a chat interface — NOT the API. Use this skill whenever the user wants to write, rewrite, optimize, improve, sharpen, or polish a prompt for chat. Trigger phrases include "rewrite this prompt", "make this a better prompt", "optimize this prompt", "turn this into a prompt", "help me prompt this", "draft a prompt that...", "I want to ask...", or whenever the user pastes a draft prompt and asks for improvements. Also trigger when the user describes a task they plan to send to an LLM model and clearly wants a reusable, well-structured prompt rather than a direct answer. The output is always a single, copy-pasteable prompt in a code block that the user sends as-is — never a template with placeholders.

github avatargithub
獲取
ai-ready

ai-ready

40Kprompting-reasoning

Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".

github avatargithub
獲取