Creator · github
Last updated · Sep 1, 2026
Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; sh
Creator · github
Last updated · Sep 1, 2026
Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; sh
Creator · github
Last updated · Sep 1, 2026
Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; sh
Creator · github
Last updated · Sep 1, 2026
Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; sh
Sandbox only
Install targets
Codex install prompt
Install the "create-canvas-extension" agent skill from https://github.com/github/awesome-copilot/tree/main/.github/skills/create-canvas-extension. 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: Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/. 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":"github-create-canvas-extension","task":"Install create-canvas-extension","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add github/awesome-copilot --skill create-canvas-extension
Maintenance
fresh
3d since push
Risk
Safe to try
Permission surface may require sandboxing
GitHub quality
39K
92/100 Quality · 83/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Permission surface needs review: shell or command execution, filesystem or document access
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA 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
39K GitHub stars
Repo activity
39K stars, 4.9K forks
Maintenance
3d since push
License
MIT
Install
npx skills add github/awesome-copilot --skill create-canvas-extension
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 github/awesome-copilot --skill create-canvas-extensionDo 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.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
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%20create-canvas-extension%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20create-canvas-extension%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/github-create-canvas-extension/install
Agent should check
Copy prompt
Task: Use create-canvas-extension in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20create-canvas-extension%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/github-create-canvas-extension/install
Install command: npx skills add github/awesome-copilot --skill create-canvas-extension
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/github-create-canvas-extension/install
LLM text format
/api/skills/github-create-canvas-extension/install?format=text
Find alternatives
/api/skills/search?q=create-canvas-extension&limit=3
Agent prompt
Use create-canvas-extension for this task. Review https://www.openagentskill.com/api/skills/github-create-canvas-extension/install, then install with: npx skills add github/awesome-copilot --skill create-canvas-extensionRegistry 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/github-create-canvas-extension
LLM text
/api/registry/manifest/github-create-canvas-extension?format=text
Install alias
/api/registry/install/github-create-canvas-extension
Recommend
/api/registry/recommend?task=Use%20create-canvas-extension%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
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
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 4.9K forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
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
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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
Run autonomous deep research over web and local sources
--- name: create-canvas-extension description: 'Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/.' argument-hint: '[optional extension name or description]' ---
# Create a canvas extension
Use this skill only for the `github/awesome-copilot` repository. Canvas extensions are reusable source components. They do not have a `plugin.json` under `extensions/`.
## Required decisions
Before creating files, ask for each missing value:
1. **Extension ID**: lowercase kebab-case, matching the source folder and plugin name. 2. **Display metadata**: - description - version (default `1.0.0`) - author name and optional URL - keywords (lowercase, hyphenated, maximum 10) - repository and license (default to the repository URL and `MIT` when appropriate) 3. **Canvas entrypoint**: confirm whether the extension already has `extension.mjs`. If not, create a minimal entrypoint only when the user provides enough implementation details; otherwise create the directory and leave an explicit TODO. 4. **Preview image**: obtain an existing `assets/preview.png` path or ask the user to add it. Do not invent a binary image or silently use a misleading placeholder. 5. **Plugin registration**: - For a standalone installable canvas plugin, create `plugins/<extension-id>`. - For an extension that belongs to an existing plugin, ask for the parent plugin ID and add `./extensions/<extension-id>` to that plugin's `extensions.com.github.awesome-copilot.extensions`. - If the extension should be shipped by multiple plugins, collect all plugin IDs and add the same extension ID to each mapping file.
## Files to create
For a new extension plugin, create this structure:
```text extensions/<extension-id>/ ├── extension.mjs └── assets/ └── preview.png
plugins/<extension-id>/ ├── plugin.json └── README.md ```
The extension source may contain additional files such as `package.json`, canvas assets, or supporting modules. Keep all reusable implementation files under `extensions/<extension-id>/`.
Create `plugins/<extension-id>/plugin.json` with this shape:
```json { "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json", "name": "<extension-id>", "description": "<description>", "version": "1.0.0", "author": { "name": "<author>" }, "repository": "https://github.com/github/awesome-copilot", "license": "MIT", "keywords": [ "<keyword>" ], "extensions": { "com.github.copilot": { "logo": "assets/preview.png" }, "com.github.awesome-copilot": { "extensions": [ "./extensions/<extension-id>" ] } } } ```
Keep Agent Plugins fields at the manifest top level. Repository composition belongs only under `extensions.com.github.awesome-copilot`; do not put `agents`, `commands`, `hooks`, or `skills` at the top level or directly under `extensions`. MCP servers are declared in `mcp.json` at the plugin root, never in `plugin.json`. Do not add `x-awesome-copilot`, `standalone`, or other repository-specific top-level fields.
For an existing parent plugin, create or update:
```text plugins/<parent-plugin>/plugin.json (`extensions.com.github.awesome-copilot.extensions`) ```
Its `extensions` property must contain sorted repository-relative paths:
```json { "extensions": [ "./extensions/<extension-id>" ] } ```
Do not copy the extension source into the parent plugin. Materialization resolves the IDs from the root `extensions/` directory, so the same source can be bundled by multiple plugins.
## Workflow
1. Inspect the repository before editing: - confirm `extensions/<extension-id>` and `plugins/<extension-id>` do not already conflict - inspect the target parent plugin, if any - check whether a preview image and entrypoint already exist 2. Ask only the missing required questions from the decisions above. 3. Create the source and plugin directories with the required files. 4. If creating a new entrypoint, keep it minimal and clearly mark implementation TODOs rather than fabricating behavior. 5. Add or update `extensions.com.github.awesome-copilot.extensions` for every parent plugin that should ship the extension. Keep paths alphabetically sorted and unique. 6. Ensure there is no `extensions/<extension-id>/.github/plugin/plugin.json`. 7. Run:
```bash npm run plugin:validate npm run build npm run website:data ```
8. Report the created paths, the plugins that ship the extension, and any missing user-provided assets or TODOs.
## Existing extension migration
When migrating an existing extension:
1. Move its existing manifest to `plugins/<extension-id>/plugin.json`. 2. Update the manifest to the namespace-based `extensions.com.github.copilot.logo` shape. 3. Remove the old manifest from `extensions/<extension-id>`. 4. Register the extension in any parent plugin's `extensions.com.github.awesome-copilot.extensions`. 5. Run the validation and build commands above.
Source provenance
Decision snapshot
38,524 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 create-canvas-extension, ready for a manual X post.
create-canvas-extension: Create or register a canvas extension in the awesome-copilot repository. Use when asked to sc... 38.5K stars https://www.openagentskill.com/skills/github-create-canvas-extension?ref=x
Listing + install path for create-canvas-extension: https://www.openagentskill.com/skills/github-create-canvas-extension?ref=x Install: npx skills add github/awesome-copilot --skill create-canvas-extension
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 github 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/github-create-canvas-extension?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/github-create-canvas-extension?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/github-create-canvas-extension/audit)
[](https://www.openagentskill.com/skills/github-create-canvas-extension?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)github
@github
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
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38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "create-canvas-extension" agent skill from https://github.com/github/awesome-copilot/tree/main/.github/skills/create-canvas-extension. 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: Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/. 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":"github-create-canvas-extension","task":"Install create-canvas-extension","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add github/awesome-copilot --skill create-canvas-extension
Maintenance
fresh
3d since push
Risk
Safe to try
Permission surface may require sandboxing
GitHub quality
39K
92/100 Quality · 83/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Permission surface needs review: shell or command execution, filesystem or document access
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA 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
39K GitHub stars
Repo activity
39K stars, 4.9K forks
Maintenance
3d since push
License
MIT
Install
npx skills add github/awesome-copilot --skill create-canvas-extension
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 github/awesome-copilot --skill create-canvas-extensionDo 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.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
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%20create-canvas-extension%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20create-canvas-extension%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/github-create-canvas-extension/install
Agent should check
Copy prompt
Task: Use create-canvas-extension in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20create-canvas-extension%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/github-create-canvas-extension/install
Install command: npx skills add github/awesome-copilot --skill create-canvas-extension
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/github-create-canvas-extension/install
LLM text format
/api/skills/github-create-canvas-extension/install?format=text
Find alternatives
/api/skills/search?q=create-canvas-extension&limit=3
Agent prompt
Use create-canvas-extension for this task. Review https://www.openagentskill.com/api/skills/github-create-canvas-extension/install, then install with: npx skills add github/awesome-copilot --skill create-canvas-extensionRegistry 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/github-create-canvas-extension
LLM text
/api/registry/manifest/github-create-canvas-extension?format=text
Install alias
/api/registry/install/github-create-canvas-extension
Recommend
/api/registry/recommend?task=Use%20create-canvas-extension%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
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
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 4.9K forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
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
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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
Run autonomous deep research over web and local sources
--- name: create-canvas-extension description: 'Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/.' argument-hint: '[optional extension name or description]' ---
# Create a canvas extension
Use this skill only for the `github/awesome-copilot` repository. Canvas extensions are reusable source components. They do not have a `plugin.json` under `extensions/`.
## Required decisions
Before creating files, ask for each missing value:
1. **Extension ID**: lowercase kebab-case, matching the source folder and plugin name. 2. **Display metadata**: - description - version (default `1.0.0`) - author name and optional URL - keywords (lowercase, hyphenated, maximum 10) - repository and license (default to the repository URL and `MIT` when appropriate) 3. **Canvas entrypoint**: confirm whether the extension already has `extension.mjs`. If not, create a minimal entrypoint only when the user provides enough implementation details; otherwise create the directory and leave an explicit TODO. 4. **Preview image**: obtain an existing `assets/preview.png` path or ask the user to add it. Do not invent a binary image or silently use a misleading placeholder. 5. **Plugin registration**: - For a standalone installable canvas plugin, create `plugins/<extension-id>`. - For an extension that belongs to an existing plugin, ask for the parent plugin ID and add `./extensions/<extension-id>` to that plugin's `extensions.com.github.awesome-copilot.extensions`. - If the extension should be shipped by multiple plugins, collect all plugin IDs and add the same extension ID to each mapping file.
## Files to create
For a new extension plugin, create this structure:
```text extensions/<extension-id>/ ├── extension.mjs └── assets/ └── preview.png
plugins/<extension-id>/ ├── plugin.json └── README.md ```
The extension source may contain additional files such as `package.json`, canvas assets, or supporting modules. Keep all reusable implementation files under `extensions/<extension-id>/`.
Create `plugins/<extension-id>/plugin.json` with this shape:
```json { "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json", "name": "<extension-id>", "description": "<description>", "version": "1.0.0", "author": { "name": "<author>" }, "repository": "https://github.com/github/awesome-copilot", "license": "MIT", "keywords": [ "<keyword>" ], "extensions": { "com.github.copilot": { "logo": "assets/preview.png" }, "com.github.awesome-copilot": { "extensions": [ "./extensions/<extension-id>" ] } } } ```
Keep Agent Plugins fields at the manifest top level. Repository composition belongs only under `extensions.com.github.awesome-copilot`; do not put `agents`, `commands`, `hooks`, or `skills` at the top level or directly under `extensions`. MCP servers are declared in `mcp.json` at the plugin root, never in `plugin.json`. Do not add `x-awesome-copilot`, `standalone`, or other repository-specific top-level fields.
For an existing parent plugin, create or update:
```text plugins/<parent-plugin>/plugin.json (`extensions.com.github.awesome-copilot.extensions`) ```
Its `extensions` property must contain sorted repository-relative paths:
```json { "extensions": [ "./extensions/<extension-id>" ] } ```
Do not copy the extension source into the parent plugin. Materialization resolves the IDs from the root `extensions/` directory, so the same source can be bundled by multiple plugins.
## Workflow
1. Inspect the repository before editing: - confirm `extensions/<extension-id>` and `plugins/<extension-id>` do not already conflict - inspect the target parent plugin, if any - check whether a preview image and entrypoint already exist 2. Ask only the missing required questions from the decisions above. 3. Create the source and plugin directories with the required files. 4. If creating a new entrypoint, keep it minimal and clearly mark implementation TODOs rather than fabricating behavior. 5. Add or update `extensions.com.github.awesome-copilot.extensions` for every parent plugin that should ship the extension. Keep paths alphabetically sorted and unique. 6. Ensure there is no `extensions/<extension-id>/.github/plugin/plugin.json`. 7. Run:
```bash npm run plugin:validate npm run build npm run website:data ```
8. Report the created paths, the plugins that ship the extension, and any missing user-provided assets or TODOs.
## Existing extension migration
When migrating an existing extension:
1. Move its existing manifest to `plugins/<extension-id>/plugin.json`. 2. Update the manifest to the namespace-based `extensions.com.github.copilot.logo` shape. 3. Remove the old manifest from `extensions/<extension-id>`. 4. Register the extension in any parent plugin's `extensions.com.github.awesome-copilot.extensions`. 5. Run the validation and build commands above.
Source provenance
Decision snapshot
38,524 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 create-canvas-extension, ready for a manual X post.
create-canvas-extension: Create or register a canvas extension in the awesome-copilot repository. Use when asked to sc... 38.5K stars https://www.openagentskill.com/skills/github-create-canvas-extension?ref=x
Listing + install path for create-canvas-extension: https://www.openagentskill.com/skills/github-create-canvas-extension?ref=x Install: npx skills add github/awesome-copilot --skill create-canvas-extension
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 github 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/github-create-canvas-extension?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/github-create-canvas-extension?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/github-create-canvas-extension/audit)
[](https://www.openagentskill.com/skills/github-create-canvas-extension?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)github
@github
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 StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "create-canvas-extension" agent skill from https://github.com/github/awesome-copilot/tree/main/.github/skills/create-canvas-extension. 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: Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/. 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":"github-create-canvas-extension","task":"Install create-canvas-extension","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add github/awesome-copilot --skill create-canvas-extension
Maintenance
fresh
3d since push
Risk
Safe to try
Permission surface may require sandboxing
GitHub quality
39K
92/100 Quality · 83/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Permission surface needs review: shell or command execution, filesystem or document access
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA 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
39K GitHub stars
Repo activity
39K stars, 4.9K forks
Maintenance
3d since push
License
MIT
Install
npx skills add github/awesome-copilot --skill create-canvas-extension
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 github/awesome-copilot --skill create-canvas-extensionDo 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.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
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%20create-canvas-extension%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20create-canvas-extension%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/github-create-canvas-extension/install
Agent should check
Copy prompt
Task: Use create-canvas-extension in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20create-canvas-extension%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/github-create-canvas-extension/install
Install command: npx skills add github/awesome-copilot --skill create-canvas-extension
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/github-create-canvas-extension/install
LLM text format
/api/skills/github-create-canvas-extension/install?format=text
Find alternatives
/api/skills/search?q=create-canvas-extension&limit=3
Agent prompt
Use create-canvas-extension for this task. Review https://www.openagentskill.com/api/skills/github-create-canvas-extension/install, then install with: npx skills add github/awesome-copilot --skill create-canvas-extensionRegistry 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/github-create-canvas-extension
LLM text
/api/registry/manifest/github-create-canvas-extension?format=text
Install alias
/api/registry/install/github-create-canvas-extension
Recommend
/api/registry/recommend?task=Use%20create-canvas-extension%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
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
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 4.9K forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
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
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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
Run autonomous deep research over web and local sources
--- name: create-canvas-extension description: 'Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/.' argument-hint: '[optional extension name or description]' ---
# Create a canvas extension
Use this skill only for the `github/awesome-copilot` repository. Canvas extensions are reusable source components. They do not have a `plugin.json` under `extensions/`.
## Required decisions
Before creating files, ask for each missing value:
1. **Extension ID**: lowercase kebab-case, matching the source folder and plugin name. 2. **Display metadata**: - description - version (default `1.0.0`) - author name and optional URL - keywords (lowercase, hyphenated, maximum 10) - repository and license (default to the repository URL and `MIT` when appropriate) 3. **Canvas entrypoint**: confirm whether the extension already has `extension.mjs`. If not, create a minimal entrypoint only when the user provides enough implementation details; otherwise create the directory and leave an explicit TODO. 4. **Preview image**: obtain an existing `assets/preview.png` path or ask the user to add it. Do not invent a binary image or silently use a misleading placeholder. 5. **Plugin registration**: - For a standalone installable canvas plugin, create `plugins/<extension-id>`. - For an extension that belongs to an existing plugin, ask for the parent plugin ID and add `./extensions/<extension-id>` to that plugin's `extensions.com.github.awesome-copilot.extensions`. - If the extension should be shipped by multiple plugins, collect all plugin IDs and add the same extension ID to each mapping file.
## Files to create
For a new extension plugin, create this structure:
```text extensions/<extension-id>/ ├── extension.mjs └── assets/ └── preview.png
plugins/<extension-id>/ ├── plugin.json └── README.md ```
The extension source may contain additional files such as `package.json`, canvas assets, or supporting modules. Keep all reusable implementation files under `extensions/<extension-id>/`.
Create `plugins/<extension-id>/plugin.json` with this shape:
```json { "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json", "name": "<extension-id>", "description": "<description>", "version": "1.0.0", "author": { "name": "<author>" }, "repository": "https://github.com/github/awesome-copilot", "license": "MIT", "keywords": [ "<keyword>" ], "extensions": { "com.github.copilot": { "logo": "assets/preview.png" }, "com.github.awesome-copilot": { "extensions": [ "./extensions/<extension-id>" ] } } } ```
Keep Agent Plugins fields at the manifest top level. Repository composition belongs only under `extensions.com.github.awesome-copilot`; do not put `agents`, `commands`, `hooks`, or `skills` at the top level or directly under `extensions`. MCP servers are declared in `mcp.json` at the plugin root, never in `plugin.json`. Do not add `x-awesome-copilot`, `standalone`, or other repository-specific top-level fields.
For an existing parent plugin, create or update:
```text plugins/<parent-plugin>/plugin.json (`extensions.com.github.awesome-copilot.extensions`) ```
Its `extensions` property must contain sorted repository-relative paths:
```json { "extensions": [ "./extensions/<extension-id>" ] } ```
Do not copy the extension source into the parent plugin. Materialization resolves the IDs from the root `extensions/` directory, so the same source can be bundled by multiple plugins.
## Workflow
1. Inspect the repository before editing: - confirm `extensions/<extension-id>` and `plugins/<extension-id>` do not already conflict - inspect the target parent plugin, if any - check whether a preview image and entrypoint already exist 2. Ask only the missing required questions from the decisions above. 3. Create the source and plugin directories with the required files. 4. If creating a new entrypoint, keep it minimal and clearly mark implementation TODOs rather than fabricating behavior. 5. Add or update `extensions.com.github.awesome-copilot.extensions` for every parent plugin that should ship the extension. Keep paths alphabetically sorted and unique. 6. Ensure there is no `extensions/<extension-id>/.github/plugin/plugin.json`. 7. Run:
```bash npm run plugin:validate npm run build npm run website:data ```
8. Report the created paths, the plugins that ship the extension, and any missing user-provided assets or TODOs.
## Existing extension migration
When migrating an existing extension:
1. Move its existing manifest to `plugins/<extension-id>/plugin.json`. 2. Update the manifest to the namespace-based `extensions.com.github.copilot.logo` shape. 3. Remove the old manifest from `extensions/<extension-id>`. 4. Register the extension in any parent plugin's `extensions.com.github.awesome-copilot.extensions`. 5. Run the validation and build commands above.
Source provenance
Decision snapshot
38,524 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 create-canvas-extension, ready for a manual X post.
create-canvas-extension: Create or register a canvas extension in the awesome-copilot repository. Use when asked to sc... 38.5K stars https://www.openagentskill.com/skills/github-create-canvas-extension?ref=x
Listing + install path for create-canvas-extension: https://www.openagentskill.com/skills/github-create-canvas-extension?ref=x Install: npx skills add github/awesome-copilot --skill create-canvas-extension
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 github 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/github-create-canvas-extension?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/github-create-canvas-extension?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/github-create-canvas-extension/audit)
[](https://www.openagentskill.com/skills/github-create-canvas-extension?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)github
@github
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 StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "create-canvas-extension" agent skill from https://github.com/github/awesome-copilot/tree/main/.github/skills/create-canvas-extension. 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: Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/. 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":"github-create-canvas-extension","task":"Install create-canvas-extension","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add github/awesome-copilot --skill create-canvas-extension
Maintenance
fresh
3d since push
Risk
Safe to try
Permission surface may require sandboxing
GitHub quality
39K
92/100 Quality · 83/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Permission surface needs review: shell or command execution, filesystem or document access
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA 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
39K GitHub stars
Repo activity
39K stars, 4.9K forks
Maintenance
3d since push
License
MIT
Install
npx skills add github/awesome-copilot --skill create-canvas-extension
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 github/awesome-copilot --skill create-canvas-extensionDo 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.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
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%20create-canvas-extension%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20create-canvas-extension%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/github-create-canvas-extension/install
Agent should check
Copy prompt
Task: Use create-canvas-extension in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20create-canvas-extension%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/github-create-canvas-extension/install
Install command: npx skills add github/awesome-copilot --skill create-canvas-extension
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/github-create-canvas-extension/install
LLM text format
/api/skills/github-create-canvas-extension/install?format=text
Find alternatives
/api/skills/search?q=create-canvas-extension&limit=3
Agent prompt
Use create-canvas-extension for this task. Review https://www.openagentskill.com/api/skills/github-create-canvas-extension/install, then install with: npx skills add github/awesome-copilot --skill create-canvas-extensionRegistry 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/github-create-canvas-extension
LLM text
/api/registry/manifest/github-create-canvas-extension?format=text
Install alias
/api/registry/install/github-create-canvas-extension
Recommend
/api/registry/recommend?task=Use%20create-canvas-extension%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
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
PASS39K GitHub stars
Stars/forks activity
PASS39K stars, 4.9K forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
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
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
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
Run autonomous deep research over web and local sources
--- name: create-canvas-extension description: 'Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/.' argument-hint: '[optional extension name or description]' ---
# Create a canvas extension
Use this skill only for the `github/awesome-copilot` repository. Canvas extensions are reusable source components. They do not have a `plugin.json` under `extensions/`.
## Required decisions
Before creating files, ask for each missing value:
1. **Extension ID**: lowercase kebab-case, matching the source folder and plugin name. 2. **Display metadata**: - description - version (default `1.0.0`) - author name and optional URL - keywords (lowercase, hyphenated, maximum 10) - repository and license (default to the repository URL and `MIT` when appropriate) 3. **Canvas entrypoint**: confirm whether the extension already has `extension.mjs`. If not, create a minimal entrypoint only when the user provides enough implementation details; otherwise create the directory and leave an explicit TODO. 4. **Preview image**: obtain an existing `assets/preview.png` path or ask the user to add it. Do not invent a binary image or silently use a misleading placeholder. 5. **Plugin registration**: - For a standalone installable canvas plugin, create `plugins/<extension-id>`. - For an extension that belongs to an existing plugin, ask for the parent plugin ID and add `./extensions/<extension-id>` to that plugin's `extensions.com.github.awesome-copilot.extensions`. - If the extension should be shipped by multiple plugins, collect all plugin IDs and add the same extension ID to each mapping file.
## Files to create
For a new extension plugin, create this structure:
```text extensions/<extension-id>/ ├── extension.mjs └── assets/ └── preview.png
plugins/<extension-id>/ ├── plugin.json └── README.md ```
The extension source may contain additional files such as `package.json`, canvas assets, or supporting modules. Keep all reusable implementation files under `extensions/<extension-id>/`.
Create `plugins/<extension-id>/plugin.json` with this shape:
```json { "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json", "name": "<extension-id>", "description": "<description>", "version": "1.0.0", "author": { "name": "<author>" }, "repository": "https://github.com/github/awesome-copilot", "license": "MIT", "keywords": [ "<keyword>" ], "extensions": { "com.github.copilot": { "logo": "assets/preview.png" }, "com.github.awesome-copilot": { "extensions": [ "./extensions/<extension-id>" ] } } } ```
Keep Agent Plugins fields at the manifest top level. Repository composition belongs only under `extensions.com.github.awesome-copilot`; do not put `agents`, `commands`, `hooks`, or `skills` at the top level or directly under `extensions`. MCP servers are declared in `mcp.json` at the plugin root, never in `plugin.json`. Do not add `x-awesome-copilot`, `standalone`, or other repository-specific top-level fields.
For an existing parent plugin, create or update:
```text plugins/<parent-plugin>/plugin.json (`extensions.com.github.awesome-copilot.extensions`) ```
Its `extensions` property must contain sorted repository-relative paths:
```json { "extensions": [ "./extensions/<extension-id>" ] } ```
Do not copy the extension source into the parent plugin. Materialization resolves the IDs from the root `extensions/` directory, so the same source can be bundled by multiple plugins.
## Workflow
1. Inspect the repository before editing: - confirm `extensions/<extension-id>` and `plugins/<extension-id>` do not already conflict - inspect the target parent plugin, if any - check whether a preview image and entrypoint already exist 2. Ask only the missing required questions from the decisions above. 3. Create the source and plugin directories with the required files. 4. If creating a new entrypoint, keep it minimal and clearly mark implementation TODOs rather than fabricating behavior. 5. Add or update `extensions.com.github.awesome-copilot.extensions` for every parent plugin that should ship the extension. Keep paths alphabetically sorted and unique. 6. Ensure there is no `extensions/<extension-id>/.github/plugin/plugin.json`. 7. Run:
```bash npm run plugin:validate npm run build npm run website:data ```
8. Report the created paths, the plugins that ship the extension, and any missing user-provided assets or TODOs.
## Existing extension migration
When migrating an existing extension:
1. Move its existing manifest to `plugins/<extension-id>/plugin.json`. 2. Update the manifest to the namespace-based `extensions.com.github.copilot.logo` shape. 3. Remove the old manifest from `extensions/<extension-id>`. 4. Register the extension in any parent plugin's `extensions.com.github.awesome-copilot.extensions`. 5. Run the validation and build commands above.
Source provenance
Decision snapshot
38,524 GitHub stars
Audit
Install and adoption review
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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 create-canvas-extension, ready for a manual X post.
create-canvas-extension: Create or register a canvas extension in the awesome-copilot repository. Use when asked to sc... 38.5K stars https://www.openagentskill.com/skills/github-create-canvas-extension?ref=x
Listing + install path for create-canvas-extension: https://www.openagentskill.com/skills/github-create-canvas-extension?ref=x Install: npx skills add github/awesome-copilot --skill create-canvas-extension
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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
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness