Creator · yha9806
Last updated · Sep 6, 2026
Show literature-to-chapter coverage and the writing progress dashboard — which sources support which chapters, and word counts against targets.
Creator · yha9806
Last updated · Sep 6, 2026
Show literature-to-chapter coverage and the writing progress dashboard — which sources support which chapters, and word counts against targets.
Creator · yha9806
Last updated · Sep 6, 2026
Show literature-to-chapter coverage and the writing progress dashboard — which sources support which chapters, and word counts against targets.
Creator · yha9806
Last updated · Sep 6, 2026
Show literature-to-chapter coverage and the writing progress dashboard — which sources support which chapters, and word counts against targets.
Install targets
Codex install prompt
Install the "map" agent skill from https://github.com/yha9806/academic-writing-toolkit/tree/main/.claude/skills/map. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Show literature-to-chapter coverage and the writing progress dashboard — which sources support which chapters, and word counts against targets. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yha9806-map","task":"Install map","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add yha9806/academic-writing-toolkit --skill map
Maintenance
fresh
Pushed today
Risk
Needs review
Low GitHub adoption signal
GitHub quality
34
62/100 Quality · 74/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
34 GitHub stars
Repo activity
34 stars, 6 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add yha9806/academic-writing-toolkit --skill map
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add yha9806/academic-writing-toolkit --skill mapDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20map%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20map%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yha9806-map/install
Agent should check
Copy prompt
Task: Use map in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20map%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yha9806-map/install
Install command: npx skills add yha9806/academic-writing-toolkit --skill map
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yha9806-map/install
LLM text format
/api/skills/yha9806-map/install?format=text
Find alternatives
/api/skills/search?q=map&limit=3
Agent prompt
Use map for this task. Review https://www.openagentskill.com/api/skills/yha9806-map/install, then install with: npx skills add yha9806/academic-writing-toolkit --skill mapRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yha9806-map
LLM text
/api/registry/manifest/yha9806-map?format=text
Install alias
/api/registry/install/yha9806-map
Recommend
/api/registry/recommend?task=Use%20map%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK34 GitHub stars
Stars/forks activity
CHECK34 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: map description: Show literature-to-chapter coverage and the writing progress dashboard — which sources support which chapters, and word counts against targets. allowed-tools: Read, Glob, Grep, Edit, Write, Bash(wc *), Bash(npm --prefix guards *) ---
# /map — Literature-Thesis Mapping Skill
## Purpose
Build and display a mapping matrix showing which literature sources support which thesis chapters. Identify coverage gaps where chapters lack sufficient source support.
## Trigger Words
This skill activates on: `map`, `show mapping`, `coverage`, `which sources`, `/map`.
## Workflow
1. **Scan all notes files** in `literature/reading_notes/` using Glob (`*_NOTES.md`). For each file, extract: - Author and title (from the `# Reading Notes:` heading) - `Status` field value - `Relevance` field value - All rows from the `## Thesis Connections` table
2. **Scan chapter files** in `chapters/` to get the list of chapters and their section headings.
3. **Build the mapping matrix.** Rows are sources (sorted alphabetically by author), columns are chapters (Ch1 through Ch8 or however many exist). - Mark each cell with the connection type if a mapping exists (e.g., `supports`, `challenges`, `extends`). - Leave cells empty if no connection.
4. **Identify coverage gaps.** Flag any chapter that has fewer than 3 mapped sources as "under-covered".
5. **Add the progress dashboard.** Count chapter words deterministically with `wc -w chapters/*.md` (never estimate word counts by reading), compare against the per-chapter targets in `CLAUDE.md`, and count notes files by `Status` value (reading / completed / integrated).
6. **Output the mapping and dashboard.**
## Output Format
``` ## Literature-Thesis Mapping -- {YYYY-MM-DD}
### Matrix
| Source | Status | Ch1 | Ch2 | Ch3 | Ch4 | Ch5 | Ch6 | Ch7 | Ch8 | |--------|--------|-----|-----|-----|-----|-----|-----|-----|-----| | Smith (2024) | integrated | | supports | supports | | | | | | | Jones (2021) | integrated | extends | supports | supports | extends | | | | | | Lee (2019) | completed | | | supports | | | challenges | | challenges |
### Coverage Summary
| Chapter | Mapped Sources | Status | |---------|---------------|--------| | Ch1 | {N} | OK / Under-covered | | Ch2 | {N} | OK / Under-covered |
### Under-covered Chapters
{List chapters with < 3 sources, with suggestions for which completed-but-not-yet-mapped notes might fill the gap.} ```
## Saving the Matrix
If the user says "save" or "export mapping", write the matrix to `literature/mapping_matrix.md` using Edit (if the file exists) or Write (if creating new). Include a timestamp header.
## Gap Threshold
- **Under-covered**: fewer than 3 mapped sources per chapter. - This threshold can be adjusted if the user specifies a different minimum.
## Constraints
1. **Read-only by default.** Only modify files if the user explicitly asks to save the matrix. 2. **No emoji** in output. 3. **No hardcoded chapter count.** Detect chapters dynamically from the `chapters/` directory. 4. **Source names** use the format `{Author} ({Year})` for readability. 5. **Connection types** are derived from the `Connection Type` column in notes files. If a notes file lacks the table or fails the contract lint (`npm --prefix guards run lint:notes -- {file}` when `guards/` is present), list it under "Unparseable notes files" instead of inferring cells — a broken file must surface as an error, never as a guessed mapping. 6. **Word counts** come from `wc -w`, never from model estimation.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for map, ready for a manual X post.
map: Show literature-to-chapter coverage and the writing progress dashboard — which sources suppor... 34 stars https://www.openagentskill.com/skills/yha9806-map?ref=x
Listing + install path for map: https://www.openagentskill.com/skills/yha9806-map?ref=x Install: npx skills add yha9806/academic-writing-toolkit --skill map
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to yha9806 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/yha9806-map?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yha9806-map?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yha9806-map/audit)
[](https://www.openagentskill.com/skills/yha9806-map?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)yha9806
@yha9806
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsInstall targets
Codex install prompt
Install the "map" agent skill from https://github.com/yha9806/academic-writing-toolkit/tree/main/.claude/skills/map. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Show literature-to-chapter coverage and the writing progress dashboard — which sources support which chapters, and word counts against targets. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yha9806-map","task":"Install map","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add yha9806/academic-writing-toolkit --skill map
Maintenance
fresh
Pushed today
Risk
Needs review
Low GitHub adoption signal
GitHub quality
34
62/100 Quality · 74/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
34 GitHub stars
Repo activity
34 stars, 6 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add yha9806/academic-writing-toolkit --skill map
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add yha9806/academic-writing-toolkit --skill mapDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20map%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20map%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yha9806-map/install
Agent should check
Copy prompt
Task: Use map in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20map%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yha9806-map/install
Install command: npx skills add yha9806/academic-writing-toolkit --skill map
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yha9806-map/install
LLM text format
/api/skills/yha9806-map/install?format=text
Find alternatives
/api/skills/search?q=map&limit=3
Agent prompt
Use map for this task. Review https://www.openagentskill.com/api/skills/yha9806-map/install, then install with: npx skills add yha9806/academic-writing-toolkit --skill mapRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yha9806-map
LLM text
/api/registry/manifest/yha9806-map?format=text
Install alias
/api/registry/install/yha9806-map
Recommend
/api/registry/recommend?task=Use%20map%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK34 GitHub stars
Stars/forks activity
CHECK34 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: map description: Show literature-to-chapter coverage and the writing progress dashboard — which sources support which chapters, and word counts against targets. allowed-tools: Read, Glob, Grep, Edit, Write, Bash(wc *), Bash(npm --prefix guards *) ---
# /map — Literature-Thesis Mapping Skill
## Purpose
Build and display a mapping matrix showing which literature sources support which thesis chapters. Identify coverage gaps where chapters lack sufficient source support.
## Trigger Words
This skill activates on: `map`, `show mapping`, `coverage`, `which sources`, `/map`.
## Workflow
1. **Scan all notes files** in `literature/reading_notes/` using Glob (`*_NOTES.md`). For each file, extract: - Author and title (from the `# Reading Notes:` heading) - `Status` field value - `Relevance` field value - All rows from the `## Thesis Connections` table
2. **Scan chapter files** in `chapters/` to get the list of chapters and their section headings.
3. **Build the mapping matrix.** Rows are sources (sorted alphabetically by author), columns are chapters (Ch1 through Ch8 or however many exist). - Mark each cell with the connection type if a mapping exists (e.g., `supports`, `challenges`, `extends`). - Leave cells empty if no connection.
4. **Identify coverage gaps.** Flag any chapter that has fewer than 3 mapped sources as "under-covered".
5. **Add the progress dashboard.** Count chapter words deterministically with `wc -w chapters/*.md` (never estimate word counts by reading), compare against the per-chapter targets in `CLAUDE.md`, and count notes files by `Status` value (reading / completed / integrated).
6. **Output the mapping and dashboard.**
## Output Format
``` ## Literature-Thesis Mapping -- {YYYY-MM-DD}
### Matrix
| Source | Status | Ch1 | Ch2 | Ch3 | Ch4 | Ch5 | Ch6 | Ch7 | Ch8 | |--------|--------|-----|-----|-----|-----|-----|-----|-----|-----| | Smith (2024) | integrated | | supports | supports | | | | | | | Jones (2021) | integrated | extends | supports | supports | extends | | | | | | Lee (2019) | completed | | | supports | | | challenges | | challenges |
### Coverage Summary
| Chapter | Mapped Sources | Status | |---------|---------------|--------| | Ch1 | {N} | OK / Under-covered | | Ch2 | {N} | OK / Under-covered |
### Under-covered Chapters
{List chapters with < 3 sources, with suggestions for which completed-but-not-yet-mapped notes might fill the gap.} ```
## Saving the Matrix
If the user says "save" or "export mapping", write the matrix to `literature/mapping_matrix.md` using Edit (if the file exists) or Write (if creating new). Include a timestamp header.
## Gap Threshold
- **Under-covered**: fewer than 3 mapped sources per chapter. - This threshold can be adjusted if the user specifies a different minimum.
## Constraints
1. **Read-only by default.** Only modify files if the user explicitly asks to save the matrix. 2. **No emoji** in output. 3. **No hardcoded chapter count.** Detect chapters dynamically from the `chapters/` directory. 4. **Source names** use the format `{Author} ({Year})` for readability. 5. **Connection types** are derived from the `Connection Type` column in notes files. If a notes file lacks the table or fails the contract lint (`npm --prefix guards run lint:notes -- {file}` when `guards/` is present), list it under "Unparseable notes files" instead of inferring cells — a broken file must surface as an error, never as a guessed mapping. 6. **Word counts** come from `wc -w`, never from model estimation.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for map, ready for a manual X post.
map: Show literature-to-chapter coverage and the writing progress dashboard — which sources suppor... 34 stars https://www.openagentskill.com/skills/yha9806-map?ref=x
Listing + install path for map: https://www.openagentskill.com/skills/yha9806-map?ref=x Install: npx skills add yha9806/academic-writing-toolkit --skill map
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to yha9806 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/yha9806-map?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yha9806-map?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yha9806-map/audit)
[](https://www.openagentskill.com/skills/yha9806-map?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)yha9806
@yha9806
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsInstall targets
Codex install prompt
Install the "map" agent skill from https://github.com/yha9806/academic-writing-toolkit/tree/main/.claude/skills/map. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Show literature-to-chapter coverage and the writing progress dashboard — which sources support which chapters, and word counts against targets. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yha9806-map","task":"Install map","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add yha9806/academic-writing-toolkit --skill map
Maintenance
fresh
Pushed today
Risk
Needs review
Low GitHub adoption signal
GitHub quality
34
62/100 Quality · 74/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
34 GitHub stars
Repo activity
34 stars, 6 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add yha9806/academic-writing-toolkit --skill map
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add yha9806/academic-writing-toolkit --skill mapDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20map%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20map%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yha9806-map/install
Agent should check
Copy prompt
Task: Use map in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20map%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yha9806-map/install
Install command: npx skills add yha9806/academic-writing-toolkit --skill map
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yha9806-map/install
LLM text format
/api/skills/yha9806-map/install?format=text
Find alternatives
/api/skills/search?q=map&limit=3
Agent prompt
Use map for this task. Review https://www.openagentskill.com/api/skills/yha9806-map/install, then install with: npx skills add yha9806/academic-writing-toolkit --skill mapRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yha9806-map
LLM text
/api/registry/manifest/yha9806-map?format=text
Install alias
/api/registry/install/yha9806-map
Recommend
/api/registry/recommend?task=Use%20map%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK34 GitHub stars
Stars/forks activity
CHECK34 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: map description: Show literature-to-chapter coverage and the writing progress dashboard — which sources support which chapters, and word counts against targets. allowed-tools: Read, Glob, Grep, Edit, Write, Bash(wc *), Bash(npm --prefix guards *) ---
# /map — Literature-Thesis Mapping Skill
## Purpose
Build and display a mapping matrix showing which literature sources support which thesis chapters. Identify coverage gaps where chapters lack sufficient source support.
## Trigger Words
This skill activates on: `map`, `show mapping`, `coverage`, `which sources`, `/map`.
## Workflow
1. **Scan all notes files** in `literature/reading_notes/` using Glob (`*_NOTES.md`). For each file, extract: - Author and title (from the `# Reading Notes:` heading) - `Status` field value - `Relevance` field value - All rows from the `## Thesis Connections` table
2. **Scan chapter files** in `chapters/` to get the list of chapters and their section headings.
3. **Build the mapping matrix.** Rows are sources (sorted alphabetically by author), columns are chapters (Ch1 through Ch8 or however many exist). - Mark each cell with the connection type if a mapping exists (e.g., `supports`, `challenges`, `extends`). - Leave cells empty if no connection.
4. **Identify coverage gaps.** Flag any chapter that has fewer than 3 mapped sources as "under-covered".
5. **Add the progress dashboard.** Count chapter words deterministically with `wc -w chapters/*.md` (never estimate word counts by reading), compare against the per-chapter targets in `CLAUDE.md`, and count notes files by `Status` value (reading / completed / integrated).
6. **Output the mapping and dashboard.**
## Output Format
``` ## Literature-Thesis Mapping -- {YYYY-MM-DD}
### Matrix
| Source | Status | Ch1 | Ch2 | Ch3 | Ch4 | Ch5 | Ch6 | Ch7 | Ch8 | |--------|--------|-----|-----|-----|-----|-----|-----|-----|-----| | Smith (2024) | integrated | | supports | supports | | | | | | | Jones (2021) | integrated | extends | supports | supports | extends | | | | | | Lee (2019) | completed | | | supports | | | challenges | | challenges |
### Coverage Summary
| Chapter | Mapped Sources | Status | |---------|---------------|--------| | Ch1 | {N} | OK / Under-covered | | Ch2 | {N} | OK / Under-covered |
### Under-covered Chapters
{List chapters with < 3 sources, with suggestions for which completed-but-not-yet-mapped notes might fill the gap.} ```
## Saving the Matrix
If the user says "save" or "export mapping", write the matrix to `literature/mapping_matrix.md` using Edit (if the file exists) or Write (if creating new). Include a timestamp header.
## Gap Threshold
- **Under-covered**: fewer than 3 mapped sources per chapter. - This threshold can be adjusted if the user specifies a different minimum.
## Constraints
1. **Read-only by default.** Only modify files if the user explicitly asks to save the matrix. 2. **No emoji** in output. 3. **No hardcoded chapter count.** Detect chapters dynamically from the `chapters/` directory. 4. **Source names** use the format `{Author} ({Year})` for readability. 5. **Connection types** are derived from the `Connection Type` column in notes files. If a notes file lacks the table or fails the contract lint (`npm --prefix guards run lint:notes -- {file}` when `guards/` is present), list it under "Unparseable notes files" instead of inferring cells — a broken file must surface as an error, never as a guessed mapping. 6. **Word counts** come from `wc -w`, never from model estimation.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for map, ready for a manual X post.
map: Show literature-to-chapter coverage and the writing progress dashboard — which sources suppor... 34 stars https://www.openagentskill.com/skills/yha9806-map?ref=x
Listing + install path for map: https://www.openagentskill.com/skills/yha9806-map?ref=x Install: npx skills add yha9806/academic-writing-toolkit --skill map
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to yha9806 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/yha9806-map?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yha9806-map?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yha9806-map/audit)
[](https://www.openagentskill.com/skills/yha9806-map?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)yha9806
@yha9806
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsInstall targets
Codex install prompt
Install the "map" agent skill from https://github.com/yha9806/academic-writing-toolkit/tree/main/.claude/skills/map. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Show literature-to-chapter coverage and the writing progress dashboard — which sources support which chapters, and word counts against targets. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yha9806-map","task":"Install map","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add yha9806/academic-writing-toolkit --skill map
Maintenance
fresh
Pushed today
Risk
Needs review
Low GitHub adoption signal
GitHub quality
34
62/100 Quality · 74/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
34 GitHub stars
Repo activity
34 stars, 6 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add yha9806/academic-writing-toolkit --skill map
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add yha9806/academic-writing-toolkit --skill mapDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20map%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20map%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yha9806-map/install
Agent should check
Copy prompt
Task: Use map in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20map%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yha9806-map/install
Install command: npx skills add yha9806/academic-writing-toolkit --skill map
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yha9806-map/install
LLM text format
/api/skills/yha9806-map/install?format=text
Find alternatives
/api/skills/search?q=map&limit=3
Agent prompt
Use map for this task. Review https://www.openagentskill.com/api/skills/yha9806-map/install, then install with: npx skills add yha9806/academic-writing-toolkit --skill mapRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yha9806-map
LLM text
/api/registry/manifest/yha9806-map?format=text
Install alias
/api/registry/install/yha9806-map
Recommend
/api/registry/recommend?task=Use%20map%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK34 GitHub stars
Stars/forks activity
CHECK34 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: map description: Show literature-to-chapter coverage and the writing progress dashboard — which sources support which chapters, and word counts against targets. allowed-tools: Read, Glob, Grep, Edit, Write, Bash(wc *), Bash(npm --prefix guards *) ---
# /map — Literature-Thesis Mapping Skill
## Purpose
Build and display a mapping matrix showing which literature sources support which thesis chapters. Identify coverage gaps where chapters lack sufficient source support.
## Trigger Words
This skill activates on: `map`, `show mapping`, `coverage`, `which sources`, `/map`.
## Workflow
1. **Scan all notes files** in `literature/reading_notes/` using Glob (`*_NOTES.md`). For each file, extract: - Author and title (from the `# Reading Notes:` heading) - `Status` field value - `Relevance` field value - All rows from the `## Thesis Connections` table
2. **Scan chapter files** in `chapters/` to get the list of chapters and their section headings.
3. **Build the mapping matrix.** Rows are sources (sorted alphabetically by author), columns are chapters (Ch1 through Ch8 or however many exist). - Mark each cell with the connection type if a mapping exists (e.g., `supports`, `challenges`, `extends`). - Leave cells empty if no connection.
4. **Identify coverage gaps.** Flag any chapter that has fewer than 3 mapped sources as "under-covered".
5. **Add the progress dashboard.** Count chapter words deterministically with `wc -w chapters/*.md` (never estimate word counts by reading), compare against the per-chapter targets in `CLAUDE.md`, and count notes files by `Status` value (reading / completed / integrated).
6. **Output the mapping and dashboard.**
## Output Format
``` ## Literature-Thesis Mapping -- {YYYY-MM-DD}
### Matrix
| Source | Status | Ch1 | Ch2 | Ch3 | Ch4 | Ch5 | Ch6 | Ch7 | Ch8 | |--------|--------|-----|-----|-----|-----|-----|-----|-----|-----| | Smith (2024) | integrated | | supports | supports | | | | | | | Jones (2021) | integrated | extends | supports | supports | extends | | | | | | Lee (2019) | completed | | | supports | | | challenges | | challenges |
### Coverage Summary
| Chapter | Mapped Sources | Status | |---------|---------------|--------| | Ch1 | {N} | OK / Under-covered | | Ch2 | {N} | OK / Under-covered |
### Under-covered Chapters
{List chapters with < 3 sources, with suggestions for which completed-but-not-yet-mapped notes might fill the gap.} ```
## Saving the Matrix
If the user says "save" or "export mapping", write the matrix to `literature/mapping_matrix.md` using Edit (if the file exists) or Write (if creating new). Include a timestamp header.
## Gap Threshold
- **Under-covered**: fewer than 3 mapped sources per chapter. - This threshold can be adjusted if the user specifies a different minimum.
## Constraints
1. **Read-only by default.** Only modify files if the user explicitly asks to save the matrix. 2. **No emoji** in output. 3. **No hardcoded chapter count.** Detect chapters dynamically from the `chapters/` directory. 4. **Source names** use the format `{Author} ({Year})` for readability. 5. **Connection types** are derived from the `Connection Type` column in notes files. If a notes file lacks the table or fails the contract lint (`npm --prefix guards run lint:notes -- {file}` when `guards/` is present), list it under "Unparseable notes files" instead of inferring cells — a broken file must surface as an error, never as a guessed mapping. 6. **Word counts** come from `wc -w`, never from model estimation.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for map, ready for a manual X post.
map: Show literature-to-chapter coverage and the writing progress dashboard — which sources suppor... 34 stars https://www.openagentskill.com/skills/yha9806-map?ref=x
Listing + install path for map: https://www.openagentskill.com/skills/yha9806-map?ref=x Install: npx skills add yha9806/academic-writing-toolkit --skill map
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to yha9806 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/yha9806-map?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yha9806-map?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yha9806-map/audit)
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@yha9806
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mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness