15,919
Open Skills
Free to get · One-click to use
✅ Keyword search & category filters
✅ Discussions & community interaction
✅ Version updates & multi-metric ranking
✅ Open SKILL.md standard
Import Skills
Upload skills archive (zip/.skill)
▾
Import
Cordys CRM CLI 指令映射技能,本技能用于将自然语言需求精准转换为可执行的 `cordys crm` 标准命令,确保输出稳定、可预测、无歧义。 【核心能力】 - 自动识别用户意图(列表 / 搜索 / 详情 / 跟进 / 原始接口) - 自动识别模块(lead / account / opportunity / contract 等) - 自动补全 JSON 参数 - 自动构造 filters / sort / combineSearch - 自动补充分页默认值 - 支持二级模块(如 contract/payment-plan) --- # Cordys CRM CLI 使用说明 该技能封装了 `cordys` 命令,帮助把自然语言转换成标准 CLI 调用。针对不同模块(lead/account/opportunity/pool 等)和常见操作(查询、分页、搜索、跟进计划/记录、原始接口)提供明确的映射策略。 ## CLI 版本选择 # CLI 版本选择(优先 Shell) 本项目提供两个版本 CLI: | 版本 | 推荐程度 | 说明 | |----|----|----| | **Shell 版本 `cordys`** | 推荐 | 无需 Python,执行更轻量 | | Python 版本 `cordys.py` | 备用 | 需要 Python3 + requests | **默认优先使用 Shell 版本。** Python 版本仅在以下情况使用: - 系统不支持 Bash - Windows 环境 - Shell CLI 不可用 ## 基本流程 1. 明确意图:列出/搜索/获取/跟进。 2. 指定目标模块(如 `lead`、`opportunity`)。 3. 根据需求补充关键词、过滤条件、排序或分页参数。 4. 确认是否需要 JSON body(如 `search`、`follow plan`、`raw`)。 5. 说明期望的输出形式(简短摘要/全部字段/只要某字段)。 ## 指令映射(常用) | 场景 | 建议命令 | 备注 | |---------|---------------------------------------------------|--------------------------------------------------------| | 列表或分页查看 | `cordys crm page <module> ["keyword"]` | 若用户只提关键词,会自动构造 `{keyword:..., current:1, pageSize:30}` | | 搜索 | `cordys crm search <module> <JSON body>` | 需 `combineSearch`、`filters`、`sort`,可补全默认值 | | 详情 | `cordys crm get <module> <id>` | 直接拉取记录 | | 跟进计划或记录 | `cordys crm follow plan 或 record <module> <body>` | `body` 应包含 `sourceId`,计划还需要 `status`/`myPlan` | | 原始接口 | `cordys raw <METHOD> <PATH> [<body>]` | 用于自定义端点或二级模块,如 `/contract/payment-plan` | ## 高级技巧 - 搜索命令需要完整 JSON,若用户只给关键词或简单条件,可自动补齐 `current=1`、`pageSize=30`、`combineSearch={...}`。 - 过滤器格式为 `{"field":"字段","operator":"equals","value":"值"}`,排序格式为 `{"field":"desc"}`。 - 支持二级模块(例如 `contract/payment-plan`、`contract/payment-record`),CLI 命令形式仍为 `cordys crm page <module>`。 - `cordys
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Skill File Structure Sample (Reference)
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
SKILL.md Requirements
├─ ⭐ 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
Why SkillWink?
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.
Keyword Search
Version Updates
Multi-Metric Ranking
Open Standard
Discussion
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.
FAQ
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
1. What are Agent Skills?
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.
2. How do Skills work?
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.
3. How can I quickly find the right skill?
Use these three together:
Semantic search: describe your goal in natural language.
Multi-filtering: category/tag/author/language/license.
Sort by downloads/likes/comments/updated to find higher-quality skills.
4. Which import methods are supported?
Upload archive: .zip / .skill (recommended)
Upload skills folder
Import from GitHub repository
Note: file size for all methods should be within 10MB.
5. How to use in Claude / Codex?
Typical paths (may vary by local setup):
Claude Code:~/.claude/skills/
Codex CLI:~/.codex/skills/
One SKILL.md can usually be reused across tools.
6. Can one skill be shared 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.
7. Are these skills safe to use?
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
8. Why does it not work after import?
Most common reasons:
Wrong folder path or nested one level too deep
Invalid/incomplete SKILL.md fields or format
Dependencies missing (Python/Node/CLI)
Tool has not reloaded skills yet
9. Does SkillWink include duplicates/low-quality skills?
We try to avoid that. Use ranking + comments to surface better skills:
Duplicate skills: compare differences (speed/stability/focus)
Low quality skills: regularly cleaned up