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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/mikonos-literature-note
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
Use cases: research, productivity
Reviews
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What's inside
- Skill name
literature-note- Description
- None
- License
- MIT
- Instructions
- 93 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- invalid YAML frontmatter: Nested mappings are not allowed in compact mappings at line 2, column 14:
- name: missing
- description: missing
Files (1)
- SKILL.md
SKILL.md (first lines)
# Literature Note (high-output) ## Role Combine: - **Luhmann** (links first) - **Feynman** (can-you-teach test) - **First principles** (mechanisms, constraints, leverage) ## Output contract (hard constraints) - **Naming / ID**: use `YYYYMMDD_HH_Topic` consistently (file name == ID). - **Keep concrete details**: names, numbers, platforms, specific actions, timelines. - **How > What**: every framework/tool must include steps + template + checklist + pitfalls + evaluation. - **Links**: end with **≥2** meaningful `[[bidirectional links]]` (state the link type). - **Unknowns**: mark as `TBD` and list what to clarify. - **Diagrams**: use PlantUML when a diagram is needed. ## Workflow ### Step 0: TODO first Draft a task checklist (≥6 items), then execute, then report completion + QA. ### Step 1: Define inputs (boundary conditions) - Material type + source (author/link/date; otherwise `TBD`) - Your use case (decision / execution / skill building / writing / review) - Output granularity (toolbox vs full framework) ### Step 2: Four-pass reading 1) **Frame**: structure + main claim + argument path 2) **Tooling**: extract all tools/templates/checklists (keep details) 3) **Network**: propose ≥5 link candidates, keep the best ≥2 4) **Completeness**: missing tools / boundaries / counterexamples / prerequisites ### Step 3: Atomize when needed If there are ≥3 independent concepts/tools, split into multiple notes + create an index note. ### Step 4: Tool extraction (6 required fields) For each tool: 1) purpose 2) inputs / prerequisites 3) steps (doable) 4) template (copy-paste) 5) acceptance checklist 6) pitfalls / failure modes + prevention ## Output template (single file) ```markdown # YYYYMMDD_HH_Topic ## 🆔 ID ID: [[YYYYMMDD_HH_Topic]] ## Source - Type: - Author/org: - Link/path: - Date/version: - Use case: - Importance: L1/L2/L3 (why) ## One-sentence summary (Feynman) > What problem does it solve, by what mechanism, and how to apply it? ## Frame - Main claim: - Argument path: A → B → C - Key conclusions (3–7): ## Tool library (high signal) | Tool | Purpose | Inputs | Steps | Template | Checklist | Pitfalls | Evaluation | |---|---|---|---|---|---|---|---| ## Next experiments - [ ] Smallest actionable experiment this week (owner/date can be TBD) ## Links (≥2, explain why) - [[Note A]]: supplement/contrast/apply/analogy/counterexample — why - [[Note B]]: ... ## QA (results only) - Extracted: concepts X / tools Y / cases Z - Structure: Frame clear / How executable / Why includes mechanism + boundaries - Links: N links with reasons ``` ## Quality checklist - [ ] File name == ID - [ ] Tools are fully specified (purpose/inputs/steps/template/checklist/pitfalls/eval) - [ ] Concrete details preserved - [ ] ≥2 meaningful links with stated relationship
From mikonos/zettelkasten-agent-skills, MIT.
More from mikonos/zettelkasten-agent-skills
- 0.449score
random-walk
mikonos
Do a controlled random walk through your notes to create serendipity and write-backable bidirectional links.
SkillDFreshness: D★ 3Claude Code +9 - 0.449score
meeting-note
mikonos
High-output meeting/conversation notes (decisions, alignment, disagreements, decision trail, assumptions, risks/opportunities, action items) + Zettelkasten…
SkillDFreshness: D★ 3Claude Code +9 - 0.449score
fleeting-note
mikonos
Capture fleeting ideas quickly and propose next steps (links + growth).
SkillDFreshness: D★ 3Claude Code +9 - 0.449score
index-note
mikonos
Create an index / entry-point note (MOC-like).
SkillDFreshness: D★ 3Claude Code +9 - 0.449score
file-organize
mikonos
Decide where a file/note should live (foldering + classification).
SkillDFreshness: D★ 3Claude Code +9 - 0.449score
note-split
mikonos
Split long notes into atomic, reusable notes.
SkillDFreshness: D★ 3Claude Code +9 - 0.446score
network-maintenance
mikonos
Knowledge network health check and structural maintenance.
SkillDFreshness: D★ 3Claude Code +9 - 0.446score
connection-discovery
mikonos
Propose write-backable, bidirectional links between notes.
SkillDFreshness: D★ 3Claude Code +9
Signals
- Stars
- 3
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- Jan 24, 2026 (9 months ago)
- Last release
- Jan 24, 2026 (9 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from mikonos
- 0.449score
random-walk
mikonos
Do a controlled random walk through your notes to create serendipity and write-backable bidirectional links.
SkillDFreshness: D★ 3Claude Code +9 - 0.449score
meeting-note
mikonos
High-output meeting/conversation notes (decisions, alignment, disagreements, decision trail, assumptions, risks/opportunities, action items) + Zettelkasten…
SkillDFreshness: D★ 3Claude Code +9 - 0.449score
fleeting-note
mikonos
Capture fleeting ideas quickly and propose next steps (links + growth).
SkillDFreshness: D★ 3Claude Code +9 - 0.449score
index-note
mikonos
Create an index / entry-point note (MOC-like).
SkillDFreshness: D★ 3Claude Code +9 - 0.449score
file-organize
mikonos
Decide where a file/note should live (foldering + classification).
SkillDFreshness: D★ 3Claude Code +9 - 0.449score
note-split
mikonos
Split long notes into atomic, reusable notes.
SkillDFreshness: D★ 3Claude Code +9
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
literature-note skill. Agent Mart. https://agentmart.dev/skills/mikonos-literature-note (last updated 2026-10-24)