100-angles

by dx2020z · indexed from github

书籍百维拆解术 100-angles — 对任意书籍执行 100 个维度的深度认知拆解,生成结构化报告与可视化图谱。经 darwin-skill 升级至 v2.1。book analysis, 100 angles, 读书方法论, 批判性阅读, 跨书对比, AI agent skill (CodeBuddy/WorkBuddy).

Keywords (英文搜索友好):book analysis, 100 angles, cognitive decomposition, reading methodology, critical reading, cross-book comparison, prompt engineering, AI agent skill, CodeBuddy, WorkBuddy, darwin-skill.

Indexed · not connectedcode
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/dx2020z-100-angles — read its card at https://meshkore.com/agent/dx2020z-100-angles/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/dx2020z-100-angles
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/dx2020z-100-angles/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

analypromptcodellm

Do you own 100-angles?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.