- 📁 .githooks/
- 📁 agents/
- 📁 assets/
- 📄 .env.example
- 📄 .gitignore
- 📄 AGENTS.md
china-stock-analyst
A股短线分析助手,聚焦“短线交易信号 + 营收质量”双轨研判。默认采用 Team-First 并行分析,主数据源为 Web Search,东方财富仅做结构化补充与复核。
A股短线分析助手,聚焦“短线交易信号 + 营收质量”双轨研判。默认采用 Team-First 并行分析,主数据源为 Web Search,东方财富仅做结构化补充与复核。
Architecture patterns, code generation guides, and reference documentation for building Prismatic custom components.
Guides users through a stricter 7-step agile PM workflow. Invoke when users have a rough product idea and need interactive HTML prototype, PRD, mermaid flowcharts, and versioned delivery.
Teaches agents how to operate within Open Station — find tasks, execute work, update state, and store artifacts.
Living Architecture Map — auto-generate Mermaid diagrams of your codebase. Use when user wants to visualize architecture, understand code structure, generate diagrams, or document system design.
Runs multi-pass automated code review with per-issue fix subagents. Triggers when preparing a branch for PR, reviewing code changes, or when thorough automated code quality review is needed.
Create or modify a platform adapter with web research, implementation, testing, and D09 checklist verification.
Gate DEX read-only market data skill. Use when the user asks for prices, K-lines, rankings, holders, or liquidity without signing a tx. Triggers on 'DEX price', 'token K-line', 'holder analysis'. Do NOT use for swaps or wallet auth — use gate-dex-trade or gate-dex-wallet.
Cadence's execution phase. Advances implementation, validation, and status writeback based on existing and continuable issue files; entering this phase when directly requested by the user is also considered entering Cadence. If there is no clear issue file or the target is unclear, ask the user to specify.
Multi-DEX perpetual futures trading CLI for Pacifica (Solana), Hyperliquid (EVM), Lighter (Ethereum), and Aster (BNB Chain). Use when user asks to: trade perps, check funding rates, scan arbitrage (perp-perp or spot-perp), delta-neutral strategies, bridge USDC, manage positions/orders, deposit/withdraw, spot+perp hedge, HIP-3 DEX trading, or mentions perp-cli, hypurrquant, Pacifica, Hyperliquid, Lighter, Aster, HyperEVM, funding arb, U-token (UBTC/UETH/USOL).
Use this whenever the user asks to "create a module", "scaffold a feature", "add a domain", "new module called X", or starts work on a brand-new vertical (controller + service + repo + model + routes + tests). Duplicates the canonical `modules/tasks` template, applies kebab/Pascal/camel renames, and registers config-driven enums. Module stays self-contained — never modify shared `lib/` or `config/` to bolt on module logic. --- # Create Module Skill Create a new module by copying and renaming the `tasks` template module. ## Prerequisites - The canonical template module `modules/tasks` must exist - You need a name for the new module (kebab-case) ## Steps ### 1. Ask for the module name Prompt user for the new module name in kebab-case (e.g., `my-feature`, `user-settings`) ### 2. Derive naming conventions Follow `/naming` for the full reference. Quick summary from the module name (e.g., `my-feature`): - **kebab-case**: `my-feature` (folder names, file prefixes, routes) - **PascalCase**: `MyFeature` (Mongoose model names, class names) - **lowerCamelCase**: `myFeature` (variable names, function names, JS exports) - **UPPER_SNAKE_CASE**: `MY_FEATURE` (constants) ### 3. Duplicate the module ```bash cp -r modules/tasks modules/{new-module-name} ``` ### 4. Rename references
Link GitHub PRs to Jira tasks and vice-versa. Automatically triggered after creating a PR (via /pr) or when working on Jira task status updates. Adds the Jira issue key to the PR title and adds the PR URL as a remote link on the Jira issue. Only activates for repositories belonging to GitHub organizations that have a configured Jira project mapping. Use when creating PRs, linking PRs to Jira, or when the user mentions connecting a PR with a Jira task.
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: