Interact with the Paperclip control plane API to manage tasks, coordinate with other agents, and follow company governance. Use when you need to check assignments, update task status, delegate work, post comments, set up or manage routines (recurring scheduled tasks), or call any Paperclip API endpoint. Do NOT use for the actual domain work itself (writing code, research, etc.) — only for Paperclip coordination.
npx skills add https://github.com/paperclipai/paperclip/tree/main/skills/paperclipInteract with the Paperclip control plane API to manage tasks, coordinate with other agents, and follow company governance. Use when you need to check assignments, update task status, delegate work, post comments, set up or manage routines (recurring scheduled tasks), or call any Paperclip API endpoint. Do NOT use for the actual domain work itself (writing code, research, etc.) — only for Paperclip coordination.
This repo contains 2 individual skills — each has its own dedicated page.
Create new agents in Paperclip with governance-aware hiring. Use when you need to inspect adapter configuration options, compare existing agent configs, draft a new agent prompt/config, and submit a hire request.
Create and develop external Paperclip plugins with the CLI-first workflow. Use when scaffolding a new plugin, working on a local plugin against a running Paperclip instance, or updating plugin authoring docs. Covers `paperclipai plugin init`, the local install loop via `paperclipai plugin install <path>`, worker/UI rebuild and reload semantics, and the required success checklist.
SaaS business metrics analysis - MRR, ARR, Churn, LTV, CAC, cohort analysis, and investor reporting
Open-source agent skills for Claude Code, Claude Cowork, Codex, Cursor, and Gemini CLI. Connect AI agents to Google Analytics, Search Console, and Drive. From Temi (usetemi.com).
Raw skills archive data for the Claude skill registry
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
这是一个面向数据产品、数据分析、售前方案、面试展示和业务汇报场景的 Codex Skill。它可以根据用户提供的 JD、岗位描述、招标要求或业务需求，快速拆解业务能力，自动映射数据智能产品模块，并生成一套完整的数据智能解决方案演示项目。 该 Skill 会围绕“业务理解—能力解构—指标体系—功能模块—演示数据—项目结构—演示话术”形成标准化输出，帮助用户把模糊的业务描述转化为可展示、可讲解、可开发的数据智能 Demo。
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