v0.9.2 — 通过 ACP Bridge HTTP API 调用远程 CLI agent。Usage: /cli <prompt> | /cli ko <prompt> (kiro) | /cli cc <prompt> (claude) | /cli qw <prompt> (qwen) | /cli oc <prompt> (opencode) | /chat ko (进入对话模式)
This skill should be used when the user asks to "design a CLI", "improve command structure", "format terminal output", "review CLI usability", "design help text", or "add flags and arguments". Automatically activates when designing new CLI tools, improving command interfaces, formatting terminal output, or reviewing CLI usability. Not for GUI/web design, backend APIs, or shell scripting.
调用 OpenAI Codex CLI 进行代码分析、重构或自动化编辑。当用户要求运行 Codex CLI（codex exec / codex resume / codex review）或提及使用 Codex 进行代码审查、重构、自动化编辑时使用。
Add a new CLI tool to the titan setup and make it usable immediately. Use when installing a new CLI tool, registering a tool in the setup script, updating the tool inventory, or when the user says "add tool", "new CLI tool", "register tool", "install X to titan". Also triggers on "I installed X", "add X to the setup", or any request to add a CLI tool to the workstation.
This skill should be used to review and audit the bt CLI for adherence to CLI best practices from clig.dev AND internal codebase patterns. It checks source code for help text, flags, error handling, output formatting, subcommand structure, pattern consistency, and more. Triggers on "review my code", "audit the CLI", "check CLI best practices", or /bt-review. --- # CLI Best Practices Review Audit the `bt` CLI codebase against two reference documents: 1. **clig.dev guidelines** — industry CLI best practices 2. **bt codebase patterns** — established internal conventions for consistency ## When to Use - When a user asks to review, audit, or check the CLI - When triggered via `/bt-review` - After implementing new commands or subcommands - Before releases to ensure CLI quality ## Review Process ### 1. Scope the Review
Install the DeepVista CLI. Load when the `deepvista` binary is missing from PATH (hooks/commands return "command not found" or silently no-op), when the user asks how to install DeepVista, or when `deepvista auth login` hasn't been run yet. Ships with the DeepVista Claude Code plugin so the install path stays discoverable even before the CLI is present. --- # Install the DeepVista CLI The DeepVista Claude Code plugin requires the `deepvista` CLI to be installed separately. Without it, the plugin's `SessionStart` hook exits silently and no catalog skills sync. ## Install ```bash uv tool install 'deepvista-cli[ui]' # preferred # or pip install 'deepvista-cli[ui]' ``` The `[ui]` extra adds the optional terminal UI (`deepvista ui`). Omit the suffix for a CLI-only install. ## Authenticate ```bash deepvista auth login # opens a browser for OAuth deepvista auth status # verify ``` ## Trigger a first sync Once the CLI is installed and authenticated, force the plugin's catalog
教用户如何使用 taro-shadcn CLI 初始化项目和添加组件。当用户询问 CLI 用法或如何创建组件时调用。
Multi-LLM peer review — send plans, ideas, or code to GPT (via OpenAI Codex CLI) and Gemini (via Gemini CLI) for structured peer review with cross-examination, then cherry-pick feedback. Decision Packet v2 with tiered output (Ship Blocker / Before Next Sprint / Backlog), dependency arrows, effort estimates, conflict flags, and JSON export. Tie-breaker model resolves HIGH CONFIDENCE deadlocks. Supports review, idea, redteam, debate, premortem, advocate, refactor, deploy, api, perf, diff, quick, help, and history modes. Supports parallel multi-mode dispatch (--modes redteam,deploy,perf) with collision detection. Use this skill whenever the user wants a second opinion from other AI models, wants to brainstorm with multiple perspectives, needs adversarial analysis, wants to stress-test a plan, review a code diff, get deployment readiness feedback, API design review, performance analysis, or mentions peer review, brainstorm, or multi-LLM feedback. Supports --rounds N, --verbose, --quiet, --gpt-model, --gemini-model, --steelman, --iterate, --json, and --modes flags. Falls back to GitHub Copilot CLI if Codex CLI is unavailable.
Use when investigating Claude CLI protocol behavior — stream-json event mismatches, permission handling, control_request/response fields, or any question about what the CLI actually does internally. Covers live event debugging, JSONL history comparison, and binary reverse-engineering.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills:
