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Found 449 Skills
Generate Chinese / Japanese speech with StepFun's stepaudio-2.5-tts — Contextual TTS that replaces step-tts-2's `voice_label` with natural-language `instruction` (≤200 chars) plus inline `()` parentheses for句内 prosody. Use when the user wants emotional / prosody control over voice synthesis (whisper, pause, stress, mood pivot mid-sentence), batch-generates game / app voice lines, migrates from `step-tts-2` (the `voice_label → instruction` breaking change), or hits StepFun's stricter 2.5-era censorship (死/消失/political terms). Triggers on 阶跃 TTS, StepAudio 合成, 语音合成, 配音, 文本转语音, TTS 升级, 迁移 step-tts-2. For transcription with the sibling stepaudio-2.5-asr model, use the stepfun-asr skill instead.
Guide for implementing Grafana Mimir - a horizontally scalable, highly available, multi-tenant TSDB for long-term storage of Prometheus metrics. Use when configuring Mimir on Kubernetes, setting up Azure/S3/GCS storage backends, troubleshooting authentication issues, or optimizing performance.
L3 Worker. Audits layer boundaries + cross-layer consistency: I/O violations, transaction boundaries (commit ownership), session ownership (DI vs local), async consistency (sync I/O in async), fire-and-forget tasks.
Reviews feature specifications for completeness, testability, and implementation readiness. Validates acceptance criteria, edge cases, and technical constraints. Use when reviewing feature specs before implementation or during sprint planning.
Generate chapter lists for Bilibili videos. Trigger scenarios: (1) Need to create Bilibili video chapters (2) User says "convert to Bilibili format", "generate chapters", "generate Bilibili chapters" (3) Need to generate video segments from subtitles (4) Process video progress bar segment markers
Guide for using direnv - a shell extension for loading directory-specific environment variables. Use when setting up project environments, creating .envrc files, configuring per-project environment variables, integrating with Python/Node/Ruby/Go layouts, working with Nix flakes, or troubleshooting environment loading issues on macOS and Linux.
企业微信个人账号直连自动化。基于 Wechaty 框架实现企业微信消息接收、自动同意好友、知识库问答、人工介入提醒。适用于企业微信个人机器人和自动化助手场景。
Turn client wins into formatted case studies for proposals, social proof, and sales conversations. Use when someone needs to document results, build credibility, or create reusable proof assets.
Two-way integration channel between Feishu (Lark/Feishu) and OpenClaw. It implements message receiving and sending through Feishu bot, supporting private chat, group chat, @mention detection, card messages, and file transfer. This skill is used when you need to interact with AI assistants via Feishu, receive Feishu messages to trigger AI responses, or send messages from OpenClaw to Feishu. Difference from feishu-automation: this skill focuses on message channel integration, while feishu-automation focuses on automated operations of Feishu platform (such as multidimensional tables, documents, etc.)
Register AI agents on Ethereum mainnet using ERC-8004 (Trustless Agents). Use when the user wants to register their agent identity on-chain, create an agent profile, claim an agent NFT, set up agent reputation, or make their agent discoverable. Handles bridging ETH to mainnet, IPFS upload, and on-chain registration.
Design pricing, packaging, and monetization strategies based on value, customer willingness to pay, and growth objectives.
Scans project docs, classifies procedural content, extracts into .claude/commands skills