r2ascension/skill_repo/ai-learning-agentic-coding-and-prompts

ai-learning-agentic-coding-and-prompts

Use this skill when the user wants a maintained learning map for AI coding workflow, prompting, collaboration, and agent-assisted execution, aggregated across multiple opencli-derived sources.

Quick Start

• Start from references/ai-learning-agentic-coding-and-prompts-catalog-latest.md for the current cross-source skill map.
• Refresh source-specific indexes first when needed, then rebuild this functional skill with python E:\AI\codex\build_opencli_functional_skills.py.

Scope Rules

• Keep the skill tightly scoped to this function: AI coding workflow, prompting, collaboration, and agent-assisted execution
• Prefer concrete operational items over broad channel or album summaries.
• If a source item is only title-derived, keep the note conservative and source-grounded.

Workflow

1. Read the latest cross-source reference catalog in references/.
2. If the user asks for latest content, refresh the underlying source skills first.
3. Rebuild the functional skills from the refreshed source indexes.
4. Answer with a concise task-oriented checklist instead of a creator-by-creator dump.

Reporting Rules

• State whether the answer comes from the cached functional catalog or a fresh rebuild.
• Mention when an item is grouped by title/summary evidence rather than full article or full video details.
• Route broader follow-up questions into data-science-ml-router.

Resources

• references/ai-learning-agentic-coding-and-prompts-catalog-latest.md
• current cross-source functional catalog
• references/ai-learning-agentic-coding-and-prompts-items-latest.json
• machine-readable item list and source evidence

Example Prompts

• 整理和 AI 编码、提示词、协作式智能体有关的学习内容
• 找适合 Codex/Claude/Agent 工作流学习的技能