content-studio
Content-studio serves as the entry point for TechWolf's content creation workflow, helping users determine whether a repository is configured for content production and routing them to appropriate specialized skills like write-linkedin-post or brainstorm-opinion. Use this skill when starting content work to either set up a new author's repository or direct users to the most relevant content-writing tool based on their specific publishing goals.
git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit /tmp/content-studio && cp -r /tmp/content-studio/plugins/content-studio/skills/content-studio ~/.claude/skills/content-studioSKILL.md
# Content Studio Use this skill as the plugin-level entry point for the TechWolf content-studio workflow in Codex. ## Start Here - If the user wants a new content studio for a person, use `setup-content-studio` first. - If the repository is already configured, route to the most specific skill: - `write-linkedin-post` - `write-blog-post` - `write-opinion` - `brainstorm-linkedin` - `brainstorm-opinion` - `analyze-performance` ## Workflow 1. Confirm whether the current repository is already a configured content studio. 2. If not, use `setup-content-studio` to create or adapt one from the template. 3. Before writing or brainstorming, read the existing published content and author guidance required by the target skill. 4. Use the repository scripts for search/list/print operations when the selected skill expects them. ## Repository Expectations - Most content skills assume they are being run inside a configured content studio repository. - Those skills rely on repo-local files such as `guidelines/`, `references/`, `content/posts/`, and `scripts/`. - If those files are missing, stop and either run `setup-content-studio` or explain what is missing.
Analyze, re-engineer, or bootstrap projects to align with AI-first design principles. Use when asked to review, audit, improve, 'ai-firstify', or start a new project. Performs deep analysis across 7 dimensions, actively restructures existing projects, or guides new project setup through discovery questions. Based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp.
Analyze engagement patterns across published posts to identify what works. Use when asked to review performance, find successful patterns, or optimize future content.
Generate LinkedIn post ideas from external sources (files, URLs, research). Use when the user provides source material (PDFs, URLs, articles) to brainstorm topics. NOT for writing or developing drafts - use write-linkedin-post instead.
Generate opinion piece ideas from recent LinkedIn posts (last 30 days). Use when asked to find opinion topics, brainstorm article ideas, or cross-pollinate content between LinkedIn and opinion pieces.
Build an MCP server end to end, tailored to how it will be used. Use when asked to build an MCP, create an MCP server, wrap an API as a tool, make a tool for Claude, expose a service to an agent, build a Claude connector, or turn a service into MCP tools. Asks up front who the server is for (just me, my org, or public) and what it wraps, then walks through analyze, build, deploy, scale, and distribute with steps tailored to that answer. Builds on the example-skills:mcp-builder skill for implementation depth.
Synthesised view of account health and activity for managers overseeing customer-facing teams (Sales, CS, Professional Services, Presales). Scans project channels, email threads, and Notion pages to surface status, risks, and upcoming milestones, without requiring the manager to trawl through individual channels. Supports proactive account management.
|
|