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doc-to-ai-solution

Turn a set of meeting notes, technical docs, design notes, postmortems, AI practice summaries, or mixed document collections into a concrete analysis output…

Skill by eatbreads

IndexedLicense unknown★ 1
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/eatbreads-doc-to-ai-solution

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Turn a set of meeting notes, technical docs, design notes, postmortems, AI practice summaries, or mixed document collections into a concrete analysis output: one-line insight, problem breakdown, root cause, actionable requirements, AI solution design, pipeline/workflow changes, priorities, and risks. Use when the user provides multiple documents or document titles and wants a synthesized engineering judgment instead of a summary, especially for stability, quality, efficiency, workflow, review, test, observability, or AI-engineering topics. When the source material lives in Feishu/Lark docs, first use the lark-doc skill to search and fetch the documents before analyzing them.

Use cases: documents, design, testing, data

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/doc-to-ai-solution

What's inside

Skill name
doc-to-ai-solution
Description
Turn a set of meeting notes, technical docs, design notes, postmortems, AI practice summaries, or mixed document collections into a concrete analysis output: one-line insight, problem breakdown, root cause, actionable requirements, AI solution design, pipeline/workflow changes, priorities, and risks. Use when the user provides multiple documents or document titles and wants a synthesized engineering judgment instead of a summary, especially for stability, quality, efficiency, workflow, review, test, observability, or AI-engineering topics. When the source material lives in Feishu/Lark docs, first use the lark-doc skill to search and fetch the documents before analyzing them.
License
unknown
Instructions
214 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • openai.yaml · agents/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from eatbreads/.agents

Signals

Stars
1
Forks
0
Open issues
0
Last commit (this folder)
Apr 7, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
Repository
github.com/eatbreads/.agents
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from eatbreads

Cite this page

doc-to-ai-solution skill. Agent Mart. https://agentmart.dev/skills/eatbreads-doc-to-ai-solution (last updated 2026-10-24)