Creator · kangarooking
Last updated · Sep 1, 2026
Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interiors, streets, architecture, landscapes, travel, and humanistic scenes—into the restrained Shijing Paper Zine visual style. Use when the user wants any real photo turned into a spacious pap
Creator · kangarooking
Last updated · Sep 1, 2026
Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interiors, streets, architecture, landscapes, travel, and humanistic scenes—into the restrained Shijing Paper Zine visual style. Use when the user wants any real photo turned into a spacious pap
Creator · kangarooking
Last updated · Sep 1, 2026
Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interiors, streets, architecture, landscapes, travel, and humanistic scenes—into the restrained Shijing Paper Zine visual style. Use when the user wants any real photo turned into a spacious pap
Creator · kangarooking
Last updated · Sep 1, 2026
Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interiors, streets, architecture, landscapes, travel, and humanistic scenes—into the restrained Shijing Paper Zine visual style. Use when the user wants any real photo turned into a spacious pap
Sandbox only
Install targets
Codex install prompt
Install the "shijing-paper-zine" agent skill from https://github.com/kangarooking/kangarooking-skills/tree/main/shijing-paper-zine. 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: Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interiors, streets, architecture, landscapes, travel, and humanistic scenes—into the restrained Shijing Paper Zine visual style. Use when the user wants any real photo turned into a spacious paper-editorial composition with an irregular photographic fragment, simplified source-derived drawing, one structural print color, tactile torn-paper texture, minimal micro-copy, a consistent multi-image series, or a source-to-poster comparison. 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":"kangarooking-shijing-paper-zine","task":"Install shijing-paper-zine","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 kangarooking/kangarooking-skills --skill shijing-paper-zine
Maintenance
fresh
7d since push
Risk
Needs review
License is unclear
GitHub quality
568
69/100 Quality · 74/100 Trust
Coverage tags
Review notes
License is unclear · Repository license is unknown; no explicit license for the skill or its assets.
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
568 GitHub stars
Repo activity
568 stars, 94 forks
Maintenance
7d since push
License
Unknown
Install
npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zine
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 kangarooking/kangarooking-skills --skill shijing-paper-zineDo 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
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
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%20shijing-paper-zine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20shijing-paper-zine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-shijing-paper-zine/install
Agent should check
Copy prompt
Task: Use shijing-paper-zine in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20shijing-paper-zine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-shijing-paper-zine/install
Install command: npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zine
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/kangarooking-shijing-paper-zine/install
LLM text format
/api/skills/kangarooking-shijing-paper-zine/install?format=text
Find alternatives
/api/skills/search?q=shijing-paper-zine&limit=3
Agent prompt
Use shijing-paper-zine for this task. Review https://www.openagentskill.com/api/skills/kangarooking-shijing-paper-zine/install, then install with: npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zineRegistry 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/kangarooking-shijing-paper-zine
LLM text
/api/registry/manifest/kangarooking-shijing-paper-zine?format=text
Install alias
/api/registry/install/kangarooking-shijing-paper-zine
Recommend
/api/registry/recommend?task=Use%20shijing-paper-zine%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
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
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
INFO568 GitHub stars
Stars/forks activity
INFO568 stars, 94 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
CHECKUnknown
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.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
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.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
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
A relentless interview to sharpen a plan or design.
--- name: shijing-paper-zine description: Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interiors, streets, architecture, landscapes, travel, and humanistic scenes—into the restrained Shijing Paper Zine visual style. Use when the user wants any real photo turned into a spacious paper-editorial composition with an irregular photographic fragment, simplified source-derived drawing, one structural print color, tactile torn-paper texture, minimal micro-copy, a consistent multi-image series, or a source-to-poster comparison. ---
# 拾景纸刊
Turn an ordinary photograph into a quiet editorial page. Treat this as a visual style rather than a travel-photo format. Read the scene before choosing a treatment. Preserve the relationship that makes the photograph specific; remove visual noise before adding design.
## Required input
Use one user-supplied or properly licensed photograph per poster. Accept casual phone snapshots, daily life, portraits, objects, pets, food, interiors, landscape, architecture, street, travel, and humanistic scenes.
If the user supplies several photographs, treat them as a series only when they share a place, time, subject, relationship, mood, or narrative. Otherwise process them as independent posters.
## Preset style references
- Inspect [example-landscape.png](assets/example-landscape.png) to calibrate paper whitespace and photographic share in open scenes. - Inspect [example-urban.png](assets/example-urban.png) to calibrate urban structure, eye direction, and structural color. - Inspect [example-humanity.png](assets/example-humanity.png) to calibrate the preserved relationship between people and their environment. - Inspect [example-cover.png](assets/example-cover.png) to calibrate fragment hierarchy and consistency for a multi-image cover. - Treat these files as visual-language references only. Do not copy their landmarks, people, layouts, wording, or travel subject matter into a new result. - Derive every new composition from the user's source photograph and Scene Note. The examples must not narrow this style to travel images.
## Choose the fidelity mode first
### Pixel-preserving mode
Use when faces, products, signs, artworks, or documentary truth must remain exact.
- Keep the original photograph unchanged as a placed canvas element. - Build paper, drawing, color, text, and torn boundaries around or across its edge. - Do not ask a generative model to recreate identity-critical content.
### Generative reconstruction mode
Use only when the user accepts reinterpretation or the scene has no identity-critical detail.
- Send the photograph as visual reference. - Warn internally that people, buildings, objects, and text may be reconstructed. - Avoid claiming pixel-level preservation in the delivery. - Prefer back views, distant figures, landscapes, and architecture without critical signage.
Default to pixel-preserving mode when the request is ambiguous and the available canvas supports direct compositing.
## Build a Scene Note
Before generating, resolve six visible decisions:
1. **Anchor:** the one subject or fragment that must remain recognizable. 2. **Relationship:** the distance, overlap, direction, scale, or near/far tension that makes this scene particular. 3. **Eye path:** the line that carries attention through the image—shoreline, road, gaze, railing, skyline, tree trunk, or repeated objects. 4. **Quiet field:** sky, water, wall, ground, haze, or another low-information area that can become paper. 5. **Compression target:** crowds, windows, foliage, cages, signs, gravel, waves, or other repeated detail that must be merged or removed. 6. **Color source:** one meaningful hue or object from the photograph that can become structural color.
Do not start from a style label. Start from these scene facts.
## Compose the poster
- Use a vertical 3:4 canvas by default; use the user's requested ratio when supplied. - Keep roughly 30–45% photographic material and 40–60% quiet paper. - Use one irregular photographic anchor instead of a centered rectangular photo. - Continue one source direction across the photo–paper boundary. - Use one primary drawing grammar: sparse contour, broad silhouette, dry-print field, or cut-paper mass. - Remove 60–85% of small descriptive detail. Dense scenes require fewer, larger marks. - Use warm cream or neutral fibrous paper unless the source demands another restrained paper tone. - Keep the result flat and scan-like. Avoid mockup depth.
Read [scene-routing.md](references/scene-routing.md) and choose the route for everyday objects, portraits, interiors, food, landscapes, urban scenes, or humanistic photographs.
## Use one structural color
Choose one saturated print hue from a real visual cue in the photograph.
The color must do at least two jobs:
- touch or cross the photographic anchor; - continue a source contour or direction; - rebalance visual weight; - connect separated fragments; - establish entry, movement, or exit; - clarify figure and ground.
If removing the hue does not weaken the composition, redesign it. Do not park a colored rectangle, circle, or brush mark in an empty corner.
For a multi-poster series, each poster may use a different hue, but paper, drawing grammar, text scale, and edge behavior must remain consistent.
## Build the material boundary
- Use an uneven hand-torn edge where photography becomes paper. - Show narrow fibers, local abrasion, broken pigment, and natural variation. - Keep the boundary flat; no cast shadow, curled corner, sticker outline, or thick layered-paper depth. - Let drawing or structural color cross selected edge segments so the two fields belong to one composition.
## Add micro-copy only when it helps
- Use no text, or one short line. - Prefer one to five English words or no more than eight Chinese characters. - Use typewriter, dry letterpress, pencil, or quiet handwriting. - Place it in genuine breathing room as the final stop in the eye path. - Reproduce user-supplied wording exactly. - Do not add dates, coordinates, barcodes, archive numbers, logos, CTAs, fake credits, or magazine metadata unless requested.
## Compile the generation prompt
Write four compact sections:
1. **Format and hierarchy:** ratio, photographic share, quiet-paper share, focal area, and eye path. 2. **Scene facts:** anchor, relationship, direction, and content that must remain. 3. **Translation:** what becomes drawing, what disappears, exact structural hue, edge behavior, and optional micro-copy. 4. **Hard constraints:** fidelity mode, flat paper reproduction, legibility, and prohibited aesthetics.
Describe visible decisions, not design theory. State what must disappear as clearly as what must remain.
## Series workflow
For a three-image series:
1. Choose one image with an open or quiet field. 2. Choose one image with a strong direction, object arrangement, or spatial rhythm. 3. Choose one image with a human, emotional, or daily-life relationship. 4. Build a separate Scene Note for each. 5. Keep canvas, paper tone, drawing family, text scale, and material treatment consistent. 6. Give each poster one source-derived structural hue. 7. Create one cover from three unequal fragments; do not use a grid or three equal thumbnails. 8. Deliver the cover, individual posters, original-to-result comparisons, and a one-paragraph method summary.
## Correction loop
Inspect once at full size and once as a thumbnail. Make one targeted revision only.
- If the result looks like a filter, reduce transformed photography and enlarge quiet paper. - If the result looks empty, extend one source-derived contour or color field; do not add filler. - If drawing is too detailed, merge repeated forms and remove at least half the marks. - If color looks decorative, attach it to the source direction or replace it. - If the photograph looks like a sticker, remove the white outline and restore irregular fibers. - If identity changes, switch to pixel-preserving mode or replace the source with a non-identity-critical scene. - If text dominates, reduce scale and contrast or remove it.
Before final delivery, read and complete [quality-gate.md](references/quality-gate.md).
## Hard avoids
Avoid full-frame filters, literal tracing, dense botanical detail, copied windows or leaves, multiple bright hues, generic abstract decorations, commercial advertising hierarchy, glossy mockups, tape, sticker borders, heavy shadows, curled paper, scrapbooking clutter, cinematic lighting, 3D depth, beauty retouching, invented landmarks, altered product packaging, random readable text, and watermarks.
## Output
Return the generated poster and a brief explanation of:
- what relationship was preserved; - what detail was removed; - how the structural color guides the eye; - whether the result is pixel-preserving or generatively reconstructed.
Do not reveal a long prompt unless the user asks for it.
Decision snapshot
568 GitHub stars
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 shijing-paper-zine, ready for a manual X post.
shijing-paper-zine: Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interio... 568 stars https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine?ref=x
Listing + install path for shijing-paper-zine: https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine?ref=x Install: npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zine
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 kangarooking 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.
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[](https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine/audit)
[](https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kangarooking
@kangarooking
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
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61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsSandbox only
Install targets
Codex install prompt
Install the "shijing-paper-zine" agent skill from https://github.com/kangarooking/kangarooking-skills/tree/main/shijing-paper-zine. 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: Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interiors, streets, architecture, landscapes, travel, and humanistic scenes—into the restrained Shijing Paper Zine visual style. Use when the user wants any real photo turned into a spacious paper-editorial composition with an irregular photographic fragment, simplified source-derived drawing, one structural print color, tactile torn-paper texture, minimal micro-copy, a consistent multi-image series, or a source-to-poster comparison. 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":"kangarooking-shijing-paper-zine","task":"Install shijing-paper-zine","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 kangarooking/kangarooking-skills --skill shijing-paper-zine
Maintenance
fresh
7d since push
Risk
Needs review
License is unclear
GitHub quality
568
69/100 Quality · 74/100 Trust
Coverage tags
Review notes
License is unclear · Repository license is unknown; no explicit license for the skill or its assets.
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
568 GitHub stars
Repo activity
568 stars, 94 forks
Maintenance
7d since push
License
Unknown
Install
npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zine
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 kangarooking/kangarooking-skills --skill shijing-paper-zineDo 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
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
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%20shijing-paper-zine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20shijing-paper-zine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-shijing-paper-zine/install
Agent should check
Copy prompt
Task: Use shijing-paper-zine in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20shijing-paper-zine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-shijing-paper-zine/install
Install command: npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zine
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/kangarooking-shijing-paper-zine/install
LLM text format
/api/skills/kangarooking-shijing-paper-zine/install?format=text
Find alternatives
/api/skills/search?q=shijing-paper-zine&limit=3
Agent prompt
Use shijing-paper-zine for this task. Review https://www.openagentskill.com/api/skills/kangarooking-shijing-paper-zine/install, then install with: npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zineRegistry 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/kangarooking-shijing-paper-zine
LLM text
/api/registry/manifest/kangarooking-shijing-paper-zine?format=text
Install alias
/api/registry/install/kangarooking-shijing-paper-zine
Recommend
/api/registry/recommend?task=Use%20shijing-paper-zine%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
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
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
INFO568 GitHub stars
Stars/forks activity
INFO568 stars, 94 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
CHECKUnknown
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.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
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.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
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
A relentless interview to sharpen a plan or design.
--- name: shijing-paper-zine description: Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interiors, streets, architecture, landscapes, travel, and humanistic scenes—into the restrained Shijing Paper Zine visual style. Use when the user wants any real photo turned into a spacious paper-editorial composition with an irregular photographic fragment, simplified source-derived drawing, one structural print color, tactile torn-paper texture, minimal micro-copy, a consistent multi-image series, or a source-to-poster comparison. ---
# 拾景纸刊
Turn an ordinary photograph into a quiet editorial page. Treat this as a visual style rather than a travel-photo format. Read the scene before choosing a treatment. Preserve the relationship that makes the photograph specific; remove visual noise before adding design.
## Required input
Use one user-supplied or properly licensed photograph per poster. Accept casual phone snapshots, daily life, portraits, objects, pets, food, interiors, landscape, architecture, street, travel, and humanistic scenes.
If the user supplies several photographs, treat them as a series only when they share a place, time, subject, relationship, mood, or narrative. Otherwise process them as independent posters.
## Preset style references
- Inspect [example-landscape.png](assets/example-landscape.png) to calibrate paper whitespace and photographic share in open scenes. - Inspect [example-urban.png](assets/example-urban.png) to calibrate urban structure, eye direction, and structural color. - Inspect [example-humanity.png](assets/example-humanity.png) to calibrate the preserved relationship between people and their environment. - Inspect [example-cover.png](assets/example-cover.png) to calibrate fragment hierarchy and consistency for a multi-image cover. - Treat these files as visual-language references only. Do not copy their landmarks, people, layouts, wording, or travel subject matter into a new result. - Derive every new composition from the user's source photograph and Scene Note. The examples must not narrow this style to travel images.
## Choose the fidelity mode first
### Pixel-preserving mode
Use when faces, products, signs, artworks, or documentary truth must remain exact.
- Keep the original photograph unchanged as a placed canvas element. - Build paper, drawing, color, text, and torn boundaries around or across its edge. - Do not ask a generative model to recreate identity-critical content.
### Generative reconstruction mode
Use only when the user accepts reinterpretation or the scene has no identity-critical detail.
- Send the photograph as visual reference. - Warn internally that people, buildings, objects, and text may be reconstructed. - Avoid claiming pixel-level preservation in the delivery. - Prefer back views, distant figures, landscapes, and architecture without critical signage.
Default to pixel-preserving mode when the request is ambiguous and the available canvas supports direct compositing.
## Build a Scene Note
Before generating, resolve six visible decisions:
1. **Anchor:** the one subject or fragment that must remain recognizable. 2. **Relationship:** the distance, overlap, direction, scale, or near/far tension that makes this scene particular. 3. **Eye path:** the line that carries attention through the image—shoreline, road, gaze, railing, skyline, tree trunk, or repeated objects. 4. **Quiet field:** sky, water, wall, ground, haze, or another low-information area that can become paper. 5. **Compression target:** crowds, windows, foliage, cages, signs, gravel, waves, or other repeated detail that must be merged or removed. 6. **Color source:** one meaningful hue or object from the photograph that can become structural color.
Do not start from a style label. Start from these scene facts.
## Compose the poster
- Use a vertical 3:4 canvas by default; use the user's requested ratio when supplied. - Keep roughly 30–45% photographic material and 40–60% quiet paper. - Use one irregular photographic anchor instead of a centered rectangular photo. - Continue one source direction across the photo–paper boundary. - Use one primary drawing grammar: sparse contour, broad silhouette, dry-print field, or cut-paper mass. - Remove 60–85% of small descriptive detail. Dense scenes require fewer, larger marks. - Use warm cream or neutral fibrous paper unless the source demands another restrained paper tone. - Keep the result flat and scan-like. Avoid mockup depth.
Read [scene-routing.md](references/scene-routing.md) and choose the route for everyday objects, portraits, interiors, food, landscapes, urban scenes, or humanistic photographs.
## Use one structural color
Choose one saturated print hue from a real visual cue in the photograph.
The color must do at least two jobs:
- touch or cross the photographic anchor; - continue a source contour or direction; - rebalance visual weight; - connect separated fragments; - establish entry, movement, or exit; - clarify figure and ground.
If removing the hue does not weaken the composition, redesign it. Do not park a colored rectangle, circle, or brush mark in an empty corner.
For a multi-poster series, each poster may use a different hue, but paper, drawing grammar, text scale, and edge behavior must remain consistent.
## Build the material boundary
- Use an uneven hand-torn edge where photography becomes paper. - Show narrow fibers, local abrasion, broken pigment, and natural variation. - Keep the boundary flat; no cast shadow, curled corner, sticker outline, or thick layered-paper depth. - Let drawing or structural color cross selected edge segments so the two fields belong to one composition.
## Add micro-copy only when it helps
- Use no text, or one short line. - Prefer one to five English words or no more than eight Chinese characters. - Use typewriter, dry letterpress, pencil, or quiet handwriting. - Place it in genuine breathing room as the final stop in the eye path. - Reproduce user-supplied wording exactly. - Do not add dates, coordinates, barcodes, archive numbers, logos, CTAs, fake credits, or magazine metadata unless requested.
## Compile the generation prompt
Write four compact sections:
1. **Format and hierarchy:** ratio, photographic share, quiet-paper share, focal area, and eye path. 2. **Scene facts:** anchor, relationship, direction, and content that must remain. 3. **Translation:** what becomes drawing, what disappears, exact structural hue, edge behavior, and optional micro-copy. 4. **Hard constraints:** fidelity mode, flat paper reproduction, legibility, and prohibited aesthetics.
Describe visible decisions, not design theory. State what must disappear as clearly as what must remain.
## Series workflow
For a three-image series:
1. Choose one image with an open or quiet field. 2. Choose one image with a strong direction, object arrangement, or spatial rhythm. 3. Choose one image with a human, emotional, or daily-life relationship. 4. Build a separate Scene Note for each. 5. Keep canvas, paper tone, drawing family, text scale, and material treatment consistent. 6. Give each poster one source-derived structural hue. 7. Create one cover from three unequal fragments; do not use a grid or three equal thumbnails. 8. Deliver the cover, individual posters, original-to-result comparisons, and a one-paragraph method summary.
## Correction loop
Inspect once at full size and once as a thumbnail. Make one targeted revision only.
- If the result looks like a filter, reduce transformed photography and enlarge quiet paper. - If the result looks empty, extend one source-derived contour or color field; do not add filler. - If drawing is too detailed, merge repeated forms and remove at least half the marks. - If color looks decorative, attach it to the source direction or replace it. - If the photograph looks like a sticker, remove the white outline and restore irregular fibers. - If identity changes, switch to pixel-preserving mode or replace the source with a non-identity-critical scene. - If text dominates, reduce scale and contrast or remove it.
Before final delivery, read and complete [quality-gate.md](references/quality-gate.md).
## Hard avoids
Avoid full-frame filters, literal tracing, dense botanical detail, copied windows or leaves, multiple bright hues, generic abstract decorations, commercial advertising hierarchy, glossy mockups, tape, sticker borders, heavy shadows, curled paper, scrapbooking clutter, cinematic lighting, 3D depth, beauty retouching, invented landmarks, altered product packaging, random readable text, and watermarks.
## Output
Return the generated poster and a brief explanation of:
- what relationship was preserved; - what detail was removed; - how the structural color guides the eye; - whether the result is pixel-preserving or generatively reconstructed.
Do not reveal a long prompt unless the user asks for it.
Decision snapshot
568 GitHub stars
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 shijing-paper-zine, ready for a manual X post.
shijing-paper-zine: Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interio... 568 stars https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine?ref=x
Listing + install path for shijing-paper-zine: https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine?ref=x Install: npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zine
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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 Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsSandbox only
Install targets
Codex install prompt
Install the "shijing-paper-zine" agent skill from https://github.com/kangarooking/kangarooking-skills/tree/main/shijing-paper-zine. 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: Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interiors, streets, architecture, landscapes, travel, and humanistic scenes—into the restrained Shijing Paper Zine visual style. Use when the user wants any real photo turned into a spacious paper-editorial composition with an irregular photographic fragment, simplified source-derived drawing, one structural print color, tactile torn-paper texture, minimal micro-copy, a consistent multi-image series, or a source-to-poster comparison. 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":"kangarooking-shijing-paper-zine","task":"Install shijing-paper-zine","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 kangarooking/kangarooking-skills --skill shijing-paper-zine
Maintenance
fresh
7d since push
Risk
Needs review
License is unclear
GitHub quality
568
69/100 Quality · 74/100 Trust
Coverage tags
Review notes
License is unclear · Repository license is unknown; no explicit license for the skill or its assets.
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
568 GitHub stars
Repo activity
568 stars, 94 forks
Maintenance
7d since push
License
Unknown
Install
npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zine
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 kangarooking/kangarooking-skills --skill shijing-paper-zineDo 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
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
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%20shijing-paper-zine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20shijing-paper-zine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-shijing-paper-zine/install
Agent should check
Copy prompt
Task: Use shijing-paper-zine in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20shijing-paper-zine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-shijing-paper-zine/install
Install command: npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zine
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/kangarooking-shijing-paper-zine/install
LLM text format
/api/skills/kangarooking-shijing-paper-zine/install?format=text
Find alternatives
/api/skills/search?q=shijing-paper-zine&limit=3
Agent prompt
Use shijing-paper-zine for this task. Review https://www.openagentskill.com/api/skills/kangarooking-shijing-paper-zine/install, then install with: npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zineRegistry 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/kangarooking-shijing-paper-zine
LLM text
/api/registry/manifest/kangarooking-shijing-paper-zine?format=text
Install alias
/api/registry/install/kangarooking-shijing-paper-zine
Recommend
/api/registry/recommend?task=Use%20shijing-paper-zine%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
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
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
INFO568 GitHub stars
Stars/forks activity
INFO568 stars, 94 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
CHECKUnknown
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.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
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.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
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
A relentless interview to sharpen a plan or design.
--- name: shijing-paper-zine description: Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interiors, streets, architecture, landscapes, travel, and humanistic scenes—into the restrained Shijing Paper Zine visual style. Use when the user wants any real photo turned into a spacious paper-editorial composition with an irregular photographic fragment, simplified source-derived drawing, one structural print color, tactile torn-paper texture, minimal micro-copy, a consistent multi-image series, or a source-to-poster comparison. ---
# 拾景纸刊
Turn an ordinary photograph into a quiet editorial page. Treat this as a visual style rather than a travel-photo format. Read the scene before choosing a treatment. Preserve the relationship that makes the photograph specific; remove visual noise before adding design.
## Required input
Use one user-supplied or properly licensed photograph per poster. Accept casual phone snapshots, daily life, portraits, objects, pets, food, interiors, landscape, architecture, street, travel, and humanistic scenes.
If the user supplies several photographs, treat them as a series only when they share a place, time, subject, relationship, mood, or narrative. Otherwise process them as independent posters.
## Preset style references
- Inspect [example-landscape.png](assets/example-landscape.png) to calibrate paper whitespace and photographic share in open scenes. - Inspect [example-urban.png](assets/example-urban.png) to calibrate urban structure, eye direction, and structural color. - Inspect [example-humanity.png](assets/example-humanity.png) to calibrate the preserved relationship between people and their environment. - Inspect [example-cover.png](assets/example-cover.png) to calibrate fragment hierarchy and consistency for a multi-image cover. - Treat these files as visual-language references only. Do not copy their landmarks, people, layouts, wording, or travel subject matter into a new result. - Derive every new composition from the user's source photograph and Scene Note. The examples must not narrow this style to travel images.
## Choose the fidelity mode first
### Pixel-preserving mode
Use when faces, products, signs, artworks, or documentary truth must remain exact.
- Keep the original photograph unchanged as a placed canvas element. - Build paper, drawing, color, text, and torn boundaries around or across its edge. - Do not ask a generative model to recreate identity-critical content.
### Generative reconstruction mode
Use only when the user accepts reinterpretation or the scene has no identity-critical detail.
- Send the photograph as visual reference. - Warn internally that people, buildings, objects, and text may be reconstructed. - Avoid claiming pixel-level preservation in the delivery. - Prefer back views, distant figures, landscapes, and architecture without critical signage.
Default to pixel-preserving mode when the request is ambiguous and the available canvas supports direct compositing.
## Build a Scene Note
Before generating, resolve six visible decisions:
1. **Anchor:** the one subject or fragment that must remain recognizable. 2. **Relationship:** the distance, overlap, direction, scale, or near/far tension that makes this scene particular. 3. **Eye path:** the line that carries attention through the image—shoreline, road, gaze, railing, skyline, tree trunk, or repeated objects. 4. **Quiet field:** sky, water, wall, ground, haze, or another low-information area that can become paper. 5. **Compression target:** crowds, windows, foliage, cages, signs, gravel, waves, or other repeated detail that must be merged or removed. 6. **Color source:** one meaningful hue or object from the photograph that can become structural color.
Do not start from a style label. Start from these scene facts.
## Compose the poster
- Use a vertical 3:4 canvas by default; use the user's requested ratio when supplied. - Keep roughly 30–45% photographic material and 40–60% quiet paper. - Use one irregular photographic anchor instead of a centered rectangular photo. - Continue one source direction across the photo–paper boundary. - Use one primary drawing grammar: sparse contour, broad silhouette, dry-print field, or cut-paper mass. - Remove 60–85% of small descriptive detail. Dense scenes require fewer, larger marks. - Use warm cream or neutral fibrous paper unless the source demands another restrained paper tone. - Keep the result flat and scan-like. Avoid mockup depth.
Read [scene-routing.md](references/scene-routing.md) and choose the route for everyday objects, portraits, interiors, food, landscapes, urban scenes, or humanistic photographs.
## Use one structural color
Choose one saturated print hue from a real visual cue in the photograph.
The color must do at least two jobs:
- touch or cross the photographic anchor; - continue a source contour or direction; - rebalance visual weight; - connect separated fragments; - establish entry, movement, or exit; - clarify figure and ground.
If removing the hue does not weaken the composition, redesign it. Do not park a colored rectangle, circle, or brush mark in an empty corner.
For a multi-poster series, each poster may use a different hue, but paper, drawing grammar, text scale, and edge behavior must remain consistent.
## Build the material boundary
- Use an uneven hand-torn edge where photography becomes paper. - Show narrow fibers, local abrasion, broken pigment, and natural variation. - Keep the boundary flat; no cast shadow, curled corner, sticker outline, or thick layered-paper depth. - Let drawing or structural color cross selected edge segments so the two fields belong to one composition.
## Add micro-copy only when it helps
- Use no text, or one short line. - Prefer one to five English words or no more than eight Chinese characters. - Use typewriter, dry letterpress, pencil, or quiet handwriting. - Place it in genuine breathing room as the final stop in the eye path. - Reproduce user-supplied wording exactly. - Do not add dates, coordinates, barcodes, archive numbers, logos, CTAs, fake credits, or magazine metadata unless requested.
## Compile the generation prompt
Write four compact sections:
1. **Format and hierarchy:** ratio, photographic share, quiet-paper share, focal area, and eye path. 2. **Scene facts:** anchor, relationship, direction, and content that must remain. 3. **Translation:** what becomes drawing, what disappears, exact structural hue, edge behavior, and optional micro-copy. 4. **Hard constraints:** fidelity mode, flat paper reproduction, legibility, and prohibited aesthetics.
Describe visible decisions, not design theory. State what must disappear as clearly as what must remain.
## Series workflow
For a three-image series:
1. Choose one image with an open or quiet field. 2. Choose one image with a strong direction, object arrangement, or spatial rhythm. 3. Choose one image with a human, emotional, or daily-life relationship. 4. Build a separate Scene Note for each. 5. Keep canvas, paper tone, drawing family, text scale, and material treatment consistent. 6. Give each poster one source-derived structural hue. 7. Create one cover from three unequal fragments; do not use a grid or three equal thumbnails. 8. Deliver the cover, individual posters, original-to-result comparisons, and a one-paragraph method summary.
## Correction loop
Inspect once at full size and once as a thumbnail. Make one targeted revision only.
- If the result looks like a filter, reduce transformed photography and enlarge quiet paper. - If the result looks empty, extend one source-derived contour or color field; do not add filler. - If drawing is too detailed, merge repeated forms and remove at least half the marks. - If color looks decorative, attach it to the source direction or replace it. - If the photograph looks like a sticker, remove the white outline and restore irregular fibers. - If identity changes, switch to pixel-preserving mode or replace the source with a non-identity-critical scene. - If text dominates, reduce scale and contrast or remove it.
Before final delivery, read and complete [quality-gate.md](references/quality-gate.md).
## Hard avoids
Avoid full-frame filters, literal tracing, dense botanical detail, copied windows or leaves, multiple bright hues, generic abstract decorations, commercial advertising hierarchy, glossy mockups, tape, sticker borders, heavy shadows, curled paper, scrapbooking clutter, cinematic lighting, 3D depth, beauty retouching, invented landmarks, altered product packaging, random readable text, and watermarks.
## Output
Return the generated poster and a brief explanation of:
- what relationship was preserved; - what detail was removed; - how the structural color guides the eye; - whether the result is pixel-preserving or generatively reconstructed.
Do not reveal a long prompt unless the user asks for it.
Decision snapshot
568 GitHub stars
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 shijing-paper-zine, ready for a manual X post.
shijing-paper-zine: Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interio... 568 stars https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine?ref=x
Listing + install path for shijing-paper-zine: https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine?ref=x Install: npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zine
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
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[](https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kangarooking
@kangarooking
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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 Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsSandbox only
Install targets
Codex install prompt
Install the "shijing-paper-zine" agent skill from https://github.com/kangarooking/kangarooking-skills/tree/main/shijing-paper-zine. 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: Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interiors, streets, architecture, landscapes, travel, and humanistic scenes—into the restrained Shijing Paper Zine visual style. Use when the user wants any real photo turned into a spacious paper-editorial composition with an irregular photographic fragment, simplified source-derived drawing, one structural print color, tactile torn-paper texture, minimal micro-copy, a consistent multi-image series, or a source-to-poster comparison. 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":"kangarooking-shijing-paper-zine","task":"Install shijing-paper-zine","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 kangarooking/kangarooking-skills --skill shijing-paper-zine
Maintenance
fresh
7d since push
Risk
Needs review
License is unclear
GitHub quality
568
69/100 Quality · 74/100 Trust
Coverage tags
Review notes
License is unclear · Repository license is unknown; no explicit license for the skill or its assets.
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
568 GitHub stars
Repo activity
568 stars, 94 forks
Maintenance
7d since push
License
Unknown
Install
npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zine
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 kangarooking/kangarooking-skills --skill shijing-paper-zineDo 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
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
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%20shijing-paper-zine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20shijing-paper-zine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/kangarooking-shijing-paper-zine/install
Agent should check
Copy prompt
Task: Use shijing-paper-zine in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20shijing-paper-zine%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kangarooking-shijing-paper-zine/install
Install command: npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zine
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/kangarooking-shijing-paper-zine/install
LLM text format
/api/skills/kangarooking-shijing-paper-zine/install?format=text
Find alternatives
/api/skills/search?q=shijing-paper-zine&limit=3
Agent prompt
Use shijing-paper-zine for this task. Review https://www.openagentskill.com/api/skills/kangarooking-shijing-paper-zine/install, then install with: npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zineRegistry 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/kangarooking-shijing-paper-zine
LLM text
/api/registry/manifest/kangarooking-shijing-paper-zine?format=text
Install alias
/api/registry/install/kangarooking-shijing-paper-zine
Recommend
/api/registry/recommend?task=Use%20shijing-paper-zine%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
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
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
INFO568 GitHub stars
Stars/forks activity
INFO568 stars, 94 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
CHECKUnknown
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.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
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.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
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
A relentless interview to sharpen a plan or design.
--- name: shijing-paper-zine description: Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interiors, streets, architecture, landscapes, travel, and humanistic scenes—into the restrained Shijing Paper Zine visual style. Use when the user wants any real photo turned into a spacious paper-editorial composition with an irregular photographic fragment, simplified source-derived drawing, one structural print color, tactile torn-paper texture, minimal micro-copy, a consistent multi-image series, or a source-to-poster comparison. ---
# 拾景纸刊
Turn an ordinary photograph into a quiet editorial page. Treat this as a visual style rather than a travel-photo format. Read the scene before choosing a treatment. Preserve the relationship that makes the photograph specific; remove visual noise before adding design.
## Required input
Use one user-supplied or properly licensed photograph per poster. Accept casual phone snapshots, daily life, portraits, objects, pets, food, interiors, landscape, architecture, street, travel, and humanistic scenes.
If the user supplies several photographs, treat them as a series only when they share a place, time, subject, relationship, mood, or narrative. Otherwise process them as independent posters.
## Preset style references
- Inspect [example-landscape.png](assets/example-landscape.png) to calibrate paper whitespace and photographic share in open scenes. - Inspect [example-urban.png](assets/example-urban.png) to calibrate urban structure, eye direction, and structural color. - Inspect [example-humanity.png](assets/example-humanity.png) to calibrate the preserved relationship between people and their environment. - Inspect [example-cover.png](assets/example-cover.png) to calibrate fragment hierarchy and consistency for a multi-image cover. - Treat these files as visual-language references only. Do not copy their landmarks, people, layouts, wording, or travel subject matter into a new result. - Derive every new composition from the user's source photograph and Scene Note. The examples must not narrow this style to travel images.
## Choose the fidelity mode first
### Pixel-preserving mode
Use when faces, products, signs, artworks, or documentary truth must remain exact.
- Keep the original photograph unchanged as a placed canvas element. - Build paper, drawing, color, text, and torn boundaries around or across its edge. - Do not ask a generative model to recreate identity-critical content.
### Generative reconstruction mode
Use only when the user accepts reinterpretation or the scene has no identity-critical detail.
- Send the photograph as visual reference. - Warn internally that people, buildings, objects, and text may be reconstructed. - Avoid claiming pixel-level preservation in the delivery. - Prefer back views, distant figures, landscapes, and architecture without critical signage.
Default to pixel-preserving mode when the request is ambiguous and the available canvas supports direct compositing.
## Build a Scene Note
Before generating, resolve six visible decisions:
1. **Anchor:** the one subject or fragment that must remain recognizable. 2. **Relationship:** the distance, overlap, direction, scale, or near/far tension that makes this scene particular. 3. **Eye path:** the line that carries attention through the image—shoreline, road, gaze, railing, skyline, tree trunk, or repeated objects. 4. **Quiet field:** sky, water, wall, ground, haze, or another low-information area that can become paper. 5. **Compression target:** crowds, windows, foliage, cages, signs, gravel, waves, or other repeated detail that must be merged or removed. 6. **Color source:** one meaningful hue or object from the photograph that can become structural color.
Do not start from a style label. Start from these scene facts.
## Compose the poster
- Use a vertical 3:4 canvas by default; use the user's requested ratio when supplied. - Keep roughly 30–45% photographic material and 40–60% quiet paper. - Use one irregular photographic anchor instead of a centered rectangular photo. - Continue one source direction across the photo–paper boundary. - Use one primary drawing grammar: sparse contour, broad silhouette, dry-print field, or cut-paper mass. - Remove 60–85% of small descriptive detail. Dense scenes require fewer, larger marks. - Use warm cream or neutral fibrous paper unless the source demands another restrained paper tone. - Keep the result flat and scan-like. Avoid mockup depth.
Read [scene-routing.md](references/scene-routing.md) and choose the route for everyday objects, portraits, interiors, food, landscapes, urban scenes, or humanistic photographs.
## Use one structural color
Choose one saturated print hue from a real visual cue in the photograph.
The color must do at least two jobs:
- touch or cross the photographic anchor; - continue a source contour or direction; - rebalance visual weight; - connect separated fragments; - establish entry, movement, or exit; - clarify figure and ground.
If removing the hue does not weaken the composition, redesign it. Do not park a colored rectangle, circle, or brush mark in an empty corner.
For a multi-poster series, each poster may use a different hue, but paper, drawing grammar, text scale, and edge behavior must remain consistent.
## Build the material boundary
- Use an uneven hand-torn edge where photography becomes paper. - Show narrow fibers, local abrasion, broken pigment, and natural variation. - Keep the boundary flat; no cast shadow, curled corner, sticker outline, or thick layered-paper depth. - Let drawing or structural color cross selected edge segments so the two fields belong to one composition.
## Add micro-copy only when it helps
- Use no text, or one short line. - Prefer one to five English words or no more than eight Chinese characters. - Use typewriter, dry letterpress, pencil, or quiet handwriting. - Place it in genuine breathing room as the final stop in the eye path. - Reproduce user-supplied wording exactly. - Do not add dates, coordinates, barcodes, archive numbers, logos, CTAs, fake credits, or magazine metadata unless requested.
## Compile the generation prompt
Write four compact sections:
1. **Format and hierarchy:** ratio, photographic share, quiet-paper share, focal area, and eye path. 2. **Scene facts:** anchor, relationship, direction, and content that must remain. 3. **Translation:** what becomes drawing, what disappears, exact structural hue, edge behavior, and optional micro-copy. 4. **Hard constraints:** fidelity mode, flat paper reproduction, legibility, and prohibited aesthetics.
Describe visible decisions, not design theory. State what must disappear as clearly as what must remain.
## Series workflow
For a three-image series:
1. Choose one image with an open or quiet field. 2. Choose one image with a strong direction, object arrangement, or spatial rhythm. 3. Choose one image with a human, emotional, or daily-life relationship. 4. Build a separate Scene Note for each. 5. Keep canvas, paper tone, drawing family, text scale, and material treatment consistent. 6. Give each poster one source-derived structural hue. 7. Create one cover from three unequal fragments; do not use a grid or three equal thumbnails. 8. Deliver the cover, individual posters, original-to-result comparisons, and a one-paragraph method summary.
## Correction loop
Inspect once at full size and once as a thumbnail. Make one targeted revision only.
- If the result looks like a filter, reduce transformed photography and enlarge quiet paper. - If the result looks empty, extend one source-derived contour or color field; do not add filler. - If drawing is too detailed, merge repeated forms and remove at least half the marks. - If color looks decorative, attach it to the source direction or replace it. - If the photograph looks like a sticker, remove the white outline and restore irregular fibers. - If identity changes, switch to pixel-preserving mode or replace the source with a non-identity-critical scene. - If text dominates, reduce scale and contrast or remove it.
Before final delivery, read and complete [quality-gate.md](references/quality-gate.md).
## Hard avoids
Avoid full-frame filters, literal tracing, dense botanical detail, copied windows or leaves, multiple bright hues, generic abstract decorations, commercial advertising hierarchy, glossy mockups, tape, sticker borders, heavy shadows, curled paper, scrapbooking clutter, cinematic lighting, 3D depth, beauty retouching, invented landmarks, altered product packaging, random readable text, and watermarks.
## Output
Return the generated poster and a brief explanation of:
- what relationship was preserved; - what detail was removed; - how the structural color guides the eye; - whether the result is pixel-preserving or generatively reconstructed.
Do not reveal a long prompt unless the user asks for it.
Decision snapshot
568 GitHub stars
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 shijing-paper-zine, ready for a manual X post.
shijing-paper-zine: Transform ordinary snapshots—including daily moments, portraits, objects, pets, food, interio... 568 stars https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine?ref=x
Listing + install path for shijing-paper-zine: https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine?ref=x Install: npx skills add kangarooking/kangarooking-skills --skill shijing-paper-zine
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 kangarooking 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/kangarooking-shijing-paper-zine?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine/audit)
[](https://www.openagentskill.com/skills/kangarooking-shijing-paper-zine?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)kangarooking
@kangarooking
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 Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsPermission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness