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fix: address code review findings — TODO placeholder, stale stats, broken link
- Replace raw TODO template markers in awesome-claude-skills-tutorial ch08
with actual adoption strategy content
- Fix "see all 30+ MCP tutorials" link pointing to single tutorial →
now anchors to MCP Servers & Integrations section
- Update verification date from 2026-03-20 to 2026-04-12
- Correct markdown line count from 1,048,763 to 706,049
- Fix agno-tutorial raw slug to display name "Agno"
| build RAG systems |[LlamaIndex](tutorials/llamaindex-tutorial/)|[Haystack](tutorials/haystack-tutorial/) → [RAGFlow](tutorials/ragflow-tutorial/)|
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| run LLMs locally or at scale |[Ollama](tutorials/ollama-tutorial/)|[llama.cpp](tutorials/llama-cpp-tutorial/) → [vLLM](tutorials/vllm-tutorial/) → [LiteLLM](tutorials/litellm-tutorial/)|
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| autonomous ML training experiments |[autoresearch](tutorials/autoresearch-tutorial/)|[deer-flow](tutorials/deer-flow-tutorial/) → [agno-tutorial](tutorials/agno-tutorial/)|
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| autonomous ML training experiments |[autoresearch](tutorials/autoresearch-tutorial/)|[deer-flow](tutorials/deer-flow-tutorial/) → [Agno](tutorials/agno-tutorial/)|
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| build AI apps with TypeScript/Next.js |[Vercel AI SDK](tutorials/vercel-ai-tutorial/)|[CopilotKit](tutorials/copilotkit-tutorial/) → [LobeChat](tutorials/lobechat-tutorial/)|
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@@ -49,15 +49,22 @@ Next steps:
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The `main` function in [`skill-creator/scripts/init_skill.py`](https://github.com/ComposioHQ/awesome-claude-skills/blob/HEAD/skill-creator/scripts/init_skill.py) handles a key part of this chapter's functionality:
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```py
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Delete this entire "Structuring This Skill" section when done - it's just guidance.]
"""Initialize a new skill directory from a template."""
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skill_dir = Path("skills") / name
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skill_dir.mkdir(parents=True, exist_ok=True)
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copy_template(template, skill_dir)
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print(f"Skill '{name}' initialized at {skill_dir}")
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```
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## Adoption Strategy and Rollout Planning
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## [TODO: Replace with the first main section based on chosen structure]
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Rolling out Claude skills across a team requires a phased approach. Start with a pilot group of 2-3 engineers who will validate the skill library against real workflows, then expand once the core patterns are proven.
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[TODO: Add content here. See examples in existing skills:
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- Code samples for technical skills
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- Decision trees forcomplex workflows
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- Concrete examples with realistic user requests
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- References to scripts/templates/references as needed]
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Key adoption milestones:
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1.**Individual adoption**: Single developer uses skills for personal productivity
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2.**Team sharing**: Skills shared via Git with team-specific customizations
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3.**Organization standard**: Skills become part of the official developer toolkit with review processes
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