Agents365-ai/365-skills

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "CC-BY-NC-4.0",

"repository": "https://github.com/Agents365-ai/365-skills",       "license": "CC-BY-NC-4.0",       "keywords": [

[Credential-related source omitted]

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "CC-BY-NC-4.0",

"repository": "https://github.com/Agents365-ai/365-skills",       "license": "CC-BY-NC-4.0",       "keywords": [

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "CC-BY-NC-4.0",

"repository": "https://github.com/Agents365-ai/365-skills",       "license": "CC-BY-NC-4.0",       "keywords": [

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

"name": "Agents365-ai"       },       "repository": "https://github.com/Agents365-ai/365-skills",

},       "repository": "https://github.com/Agents365-ai/365-skills",       "license": "MIT",

"repository": "https://github.com/Agents365-ai/365-skills",

description: Use when designing, reviewing, or refactoring a CLI that must serve AI agents alongside humans, or when converting an API or SDK into an agent-usable CLI interface. license: MIT homepage: https://github.com/Agents365-ai/365-ski

license: MIT homepage: https://github.com/Agents365-ai/365-skills compatibility: Includes sidecar metadata for OpenClaw, Hermes, pi-mono, and OpenAI Codex; the core SKILL.md is portable to any agent runtime that supports Agent Skills-style 

homepage: https://github.com/Agents365-ai/365-skills

[Credential-related source omitted]

**Machine verification baseline.** When the CLI under review is installed and runnable, run `anc audit <command> --output json` (the [agentnative](https://github.com/brettdavies/agentnative) linter, 8 RFC 2119 principles) before applying th

[Credential-related source omitted]

- *Code execution with MCP: Building more efficient agents* — <https://www.anthropic.com/engineering/code-execution-with-mcp> (Nov 4, 2025). Progressive disclosure of tool definitions; the 150K → 2K token reduction case study cited under Pr

- *Beyond permission prompts: making Claude Code more secure and autonomous* — <https://www.anthropic.com/engineering/claude-code-sandboxing> (Oct 20, 2025). Approval fatigue and the 84% prompt-reduction figure cited under Principle 4 / `de

- Ugo Enyioha, *Writing CLI Tools That AI Agents Actually Want to Use* — <https://dev.to/uenyioha/writing-cli-tools-that-ai-agents-actually-want-to-use-39no> (Feb 27, 2025). Idempotency-on-retry and "agents cannot type 'y'" framings cited i

- Cloudflare, *The CLI for all of Cloudflare* — <https://blog.cloudflare.com/cf-cli-local-explorer/> (Apr 13, 2026). Schema-first generation of the CLI, SDKs, Terraform provider, and MCP server from one TypeScript source; ~3,000 API operati

- brettdavies, *agentnative: The Agent-Native CLI Standard* — <https://github.com/brettdavies/agentnative> (Apr 2026). Eight RFC 2119 principles plus the `anc` linter used as the machine verification baseline in the Standard review workflow

- Thibault Le Ouay Ducasse / openstatus, *Building a CLI That Works for Humans and Machines* — <https://www.openstatus.dev/blog/building-cli-for-human-and-agents> (Apr 2, 2026). TTY detection as the human/machine switch cited under Principl

- Mario Zechner, *MCP vs CLI: Benchmarking Tools for Coding Agents* — <https://mariozechner.at/posts/2025-08-15-mcp-vs-cli/> (Aug 15, 2025). Empirical case that many MCP servers could be CLI invocations.

- Armin Ronacher, *Skills vs Dynamic MCP Loadouts* — <https://lucumr.pocoo.org/2025/12/13/skills-vs-mcp/> (Dec 13, 2025). Schema/API stability as a first-class concern cited under Principle 6.

- Jannik Reinhard, *CLI Tools vs MCP: Better AI Agents With Less Context* — <https://jannikreinhard.com/2026/02/22/why-cli-tools-are-beating-mcp-for-ai-agents/> (Feb 22, 2026). Source for the 28% / 33% / 55K / 35× numbers in `hybrid-mcp-cli

- Manveer Chawla, *MCP vs. CLI for AI agents: When to Use Each (A Practical Decision Framework for 2026)* — <https://manveerc.substack.com/p/mcp-vs-cli-ai-agents> (Mar 8, 2026). Per-integration decision framework; production examples (Claud

- Soumyadeb Mitra / RudderStack, *CLI or MCP or both? The design pattern for AI agents managing your data stack* — <https://www.rudderstack.com/blog/ai-agents-cli-mcp-design-pattern/> (Mar 18, 2026). The "writes via CLI, reads via MCP" spli

- *Scripting with GitHub CLI* — <https://github.blog/engineering/engineering-principles/scripting-with-github-cli/> (Mar 11, 2021). `gh api --jq` and structured JSON output as a first-class CLI pattern. The post predates the `gh <resource> 

- *Command Line Interface Guidelines* — <https://clig.dev/>. The pre-agent baseline for human-first CLI design. This skill extends it; it does not replace it.

- `sysexits.h` — <https://manpages.ubuntu.com/manpages/noble/man3/sysexits.h.3head.html>. The BSD exit-code vocabulary that `design-patterns.md#exit-code-model` deliberately simplifies away from.

[Credential-related source omitted]

[Credential-related source omitted]

"would_request": {     "method": "GET",     "url": "https://health.api/v1/sleep",

"method": "GET",     "url": "https://health.api/v1/sleep",     "params": { "startDate": "2026-01-01", "endDate": "2026-01-07" }

"url": "https://health.api/v1/sleep",

[Credential-related source omitted]

out=$(eval "$cmd --dry-run" 2>/dev/null) || true

[Credential-related source omitted]

[Credential-related source omitted]

[runtime]="HEALTHKIT_BASE_URL=http://127.0.0.1:1 tool sleep list --start-date 2026-01-01 --end-date 2026-01-07|1"

eval "$cmd" >/dev/null 2>&1; got=$?

out=$(eval "$cmd --dry-run")

#!/usr/bin/env bash

created: 2026-07-09 updated: 2026-07-09 homepage: https://github.com/Agents365-ai/365-skills

updated: 2026-07-09 homepage: https://github.com/Agents365-ai/365-skills metadata: {"openclaw":{"requires":{"bins":["python3"],"env":["PEXELS_API_KEY"]},"primaryEnv":"PEXELS_API_KEY","emoji":"🔍"}}

homepage: https://github.com/Agents365-ai/365-skills

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

| Service | Signup URL | Time to get key | | --------- | ----------- | ---------------- | | Pexels | <https://www.pexels.com/api/> | ~2 min |

| --------- | ----------- | ---------------- | | Pexels | <https://www.pexels.com/api/> | ~2 min | | Unsplash | <https://unsplash.com/developers> | ~5 min (needs app registration) |

| Pexels | <https://www.pexels.com/api/> | ~2 min |

| Unsplash | <https://unsplash.com/developers> | ~5 min (needs app registration) |

| Pixabay | <https://pixabay.com/api/docs/> | ~2 min |

| Freesound | <https://freesound.org/apiv2/apply/> | ~1 day (manual approval) |

| Google Fonts | <https://console.cloud.google.com/> | ~5 min |

#!/usr/bin/env python3

"label": "Pexels",         "types": ["photo", "video"],         "base": "https://api.pexels.com",

"types": ["photo", "video"],         "base": "https://api.pexels.com",         "env_key": "PEXELS_API_KEY",

"base": "https://api.pexels.com",

[Credential-related source omitted]

"label": "Unsplash",         "types": ["photo"],         "base": "https://api.unsplash.com",

"types": ["photo"],         "base": "https://api.unsplash.com",         "env_key": "UNSPLASH_ACCESS_KEY",

"base": "https://api.unsplash.com",

[Credential-related source omitted]

"label": "Pixabay",         "types": ["photo", "video"],         "base": "https://pixabay.com/api",

"types": ["photo", "video"],         "base": "https://pixabay.com/api",         "env_key": "PIXABAY_API_KEY",

"base": "https://pixabay.com/api",

[Credential-related source omitted]

"label": "Iconify",         "types": ["icon"],         "base": "https://api.iconify.design",

"types": ["icon"],         "base": "https://api.iconify.design",         "env_key": None,  # No key needed

"base": "https://api.iconify.design",

"label": "Freesound",         "types": ["sfx", "music"],         "base": "https://freesound.org/apiv2",

"types": ["sfx", "music"],         "base": "https://freesound.org/apiv2",         "env_key": "FREESOUND_API_KEY",  # client_id; FREESOUND_TOKEN is the actual auth token

"base": "https://freesound.org/apiv2",

[Credential-related source omitted]

"label": "Google Fonts",         "types": ["font"],         "base": "https://www.googleapis.com/webfonts/v1",

"types": ["font"],         "base": "https://www.googleapis.com/webfonts/v1",         "env_key": "GOOGLE_FONTS_API_KEY",

"base": "https://www.googleapis.com/webfonts/v1",

[Credential-related source omitted]

"label": "Noun Project",         "types": ["icon"],         "base": "https://api.thenounproject.com/v2",

"types": ["icon"],         "base": "https://api.thenounproject.com/v2",         "env_key": "NOUN_PROJECT_KEY",

"base": "https://api.thenounproject.com/v2",

[Credential-related source omitted]

"label": "Mixkit (Playwright scraper)",         "types": ["video", "sfx", "music", "template"],         "base": "https://mixkit.co",

"types": ["video", "sfx", "music", "template"],         "base": "https://mixkit.co",         "env_key": None,

"base": "https://mixkit.co",

"label": "unDraw (Playwright scraper)",         "types": ["illustration"],         "base": "https://undraw.co",

"types": ["illustration"],         "base": "https://undraw.co",         "env_key": None,

"base": "https://undraw.co",

"label": "100font (Playwright scraper)",         "types": ["font"],         "base": "https://www.100font.com",

"types": ["font"],         "base": "https://www.100font.com",         "env_key": None,

"base": "https://www.100font.com",

"label": "Storyset (Playwright scraper)",         "types": ["illustration"],         "base": "https://storyset.com",

"types": ["illustration"],         "base": "https://storyset.com",         "env_key": None,

"base": "https://storyset.com",

[Credential-related source omitted]

[Credential-related source omitted]

if headers:         merged.update(headers)     req = urllib.request.Request(url, headers=merged)

merged.update(headers)     req = urllib.request.Request(url, headers=merged)     try:

req = urllib.request.Request(url, headers=merged)

try:         with urllib.request.urlopen(req, timeout=15) as resp:             return json.loads(resp.read().decode("utf-8"))

with urllib.request.urlopen(req, timeout=15) as resp:

try:         req = urllib.request.Request(url, headers={"User-Agent": "assetseeker/1.0"})

req = urllib.request.Request(url, headers={"User-Agent": "assetseeker/1.0"})

with urllib.request.urlopen(req, timeout=60) as resp:

key = _get_key("pexels")     if not key:         return [{"error": "PEXELS_API_KEY not set. Get one at https://www.pexels.com/api/"}]

[Credential-related source omitted]

[Credential-related source omitted]

if args.type == "video":         url = f"https://api.pexels.com/videos/search?query={urllib.parse.quote(args.keyword)}&per_page={args.max_results}"

url = f"https://api.pexels.com/videos/search?query={urllib.parse.quote(args.keyword)}&per_page={args.max_results}"

else:         url = f"https://api.pexels.com/v1/search?query={urllib.parse.quote(args.keyword)}&per_page={args.max_results}"         if args.orientation:

url = f"https://api.pexels.com/v1/search?query={urllib.parse.quote(args.keyword)}&per_page={args.max_results}"

key = _get_key("unsplash")     if not key:         return [{"error": "UNSPLASH_ACCESS_KEY not set. Get one at https://unsplash.com/developers"}]

return [{"error": "UNSPLASH_ACCESS_KEY not set. Get one at https://unsplash.com/developers"}]

url = f"https://api.unsplash.com/search/photos?query={urllib.parse.quote(args.keyword)}&per_page={args.max_results}"

"height": item.get("height"),             "photographer": item.get("user", {}).get("name", ""),             "photographer_url": f"https://unsplash.com/@{item.get('user', {}).get('username', '')}",

"photographer": item.get("user", {}).get("name", ""),             "photographer_url": f"https://unsplash.com/@{item.get('user', {}).get('username', '')}",             "alt": item.get("alt_description") or item.get("description") or "",

"photographer_url": f"https://unsplash.com/@{item.get('user', {}).get('username', '')}",

key = _get_key("pixabay")     if not key:         return [{"error": "PIXABAY_API_KEY not set. Get one at https://pixabay.com/api/docs/"}]

[Credential-related source omitted]

[Credential-related source omitted]

if args.type == "video":         url = f"https://pixabay.com/api/videos/?key={key}&q={urllib.parse.quote(args.keyword)}&per_page={args.max_results}"

url = f"https://pixabay.com/api/videos/?key={key}&q={urllib.parse.quote(args.keyword)}&per_page={args.max_results}"

else:         url = f"https://pixabay.com/api/?key={key}&q={urllib.parse.quote(args.keyword)}&per_page={args.max_results}"     if args.orientation:

url = f"https://pixabay.com/api/?key={key}&q={urllib.parse.quote(args.keyword)}&per_page={args.max_results}"

url = f"https://api.iconify.design/search?query={urllib.parse.quote(keyword)}&limit={args.max_results}"

"prefix": prefix,             "name": name,             "svg_url": f"https://api.iconify.design/{item}.svg",

"name": name,             "svg_url": f"https://api.iconify.design/{item}.svg",             "usage_html": f'<span class="iconify" data-icon="{item}"></span>',

"svg_url": f"https://api.iconify.design/{item}.svg",

"usage_html": f'<span class="iconify" data-icon="{item}"></span>',             "preview_url": f"https://api.iconify.design/{item}.svg?width=64&height=64",             "collections": data.get("collections", {}),

"preview_url": f"https://api.iconify.design/{item}.svg?width=64&height=64",

[Credential-related source omitted]

[Credential-related source omitted]

auth_header = f"Bearer {token}" if token else f"Token {key}"     url = f"https://freesound.org/apiv2/search/text/?query={urllib.parse.quote(args.keyword)}&page_size={min(args.max_results, 30)}&fields=id,name,url,previews,license,username,du

url = f"https://freesound.org/apiv2/search/text/?query={urllib.parse.quote(args.keyword)}&page_size={min(args.max_results, 30)}&fields=id,name,url,previews,license,username,duration,download,tags"

url = f"https://www.googleapis.com/webfonts/v1/webfonts?key={key}&sort=popularity"

"version": f.get("version", ""),                 "last_modified": f.get("lastModified", ""),                 "css_link": f"https://fonts.googleapis.com/css2?family={urllib.parse.quote(f.get('family', '').replace(' ', '+'))}",

"last_modified": f.get("lastModified", ""),                 "css_link": f"https://fonts.googleapis.com/css2?family={urllib.parse.quote(f.get('family', '').replace(' ', '+'))}",                 "popularity": f.get("popularity", ""),

"css_link": f"https://fonts.googleapis.com/css2?family={urllib.parse.quote(f.get('family', '').replace(' ', '+'))}",

[Credential-related source omitted]

"designers": f.get("designers", []),             "last_modified": f.get("lastModified", ""),             "css_link": f"https://fonts.googleapis.com/css2?family={urllib.parse.quote(f.get('family', '').replace(' ', '+'))}",

"last_modified": f.get("lastModified", ""),             "css_link": f"https://fonts.googleapis.com/css2?family={urllib.parse.quote(f.get('family', '').replace(' ', '+'))}",             "_score": score,

"css_link": f"https://fonts.googleapis.com/css2?family={urllib.parse.quote(f.get('family', '').replace(' ', '+'))}",

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

return [{"error": "NOUN_PROJECT_KEY / NOUN_PROJECT_SECRET not set. Get them at https://thenounproject.com/developers/"}]

url = f"https://api.thenounproject.com/v2/icon?query={urllib.parse.quote(args.keyword)}&limit={min(args.max_results, 20)}"

}     path = type_paths.get(asset_type, "free-stock-video")     base_url = f"https://mixkit.co/{path}/"

base_url = f"https://mixkit.co/{path}/"

"type": asset_type,                         "title": title,                         "url": f"https://mixkit.co{href}" if href.startswith("/") else href,

"title": title,                         "url": f"https://mixkit.co{href}" if href.startswith("/") else href,                         "thumbnail": thumbnail,

"url": f"https://mixkit.co{href}" if href.startswith("/") else href,

if asset_type == "video" and vid:                         result["download_url"] = f"https://assets.mixkit.co/videos/{vid}/{vid}-720.mp4"

result["download_url"] = f"https://assets.mixkit.co/videos/{vid}/{vid}-720.mp4"

result["download_urls"] = {                             "360p": f"https://assets.mixkit.co/videos/{vid}/{vid}-360.mp4",                             "720p": f"https://assets.mixkit.co/videos/{vid}/{vid}-720.mp4",

"360p": f"https://assets.mixkit.co/videos/{vid}/{vid}-360.mp4",

"720p": f"https://assets.mixkit.co/videos/{vid}/{vid}-720.mp4",

browser = p.chromium.launch(headless=True)             page = browser.new_page()             page.goto("https://undraw.co/illustrations", timeout=20000)

page = browser.new_page()             page.goto("https://undraw.co/illustrations", timeout=20000)             page.wait_for_timeout(4000)

page.goto("https://undraw.co/illustrations", timeout=20000)

"type": "illustration",                         "title": title,                         "url": f"https://undraw.co/illustrations",

"title": title,                         "url": f"https://undraw.co/illustrations",                         "svg": svg_html,

"url": f"https://undraw.co/illustrations",

"svg": svg_html,                         "svg_bytes": len(svg_html),                         "download_url": f"https://undraw.co/illustrations",  # no direct URL; save SVG locally

"svg_bytes": len(svg_html),                         "download_url": f"https://undraw.co/illustrations",  # no direct URL; save SVG locally                         "color_hint": "Use --color HEX to change the accent color",

"download_url": f"https://undraw.co/illustrations",  # no direct URL; save SVG locally

keyword = args.keyword.strip()     base_url = "https://www.100font.com"

base_url = "https://www.100font.com"

keyword = args.keyword.strip()     search_url = f"https://storyset.com/search?q={urllib.parse.quote(keyword)}"

search_url = f"https://storyset.com/search?q={urllib.parse.quote(keyword)}"

styles = ["rafiki", "bro", "amico", "pana", "cuate"]                 style_urls = {                     s: f"https://storyset.com/illustration/{name}/{s}"

style_urls = {                     s: f"https://storyset.com/illustration/{name}/{s}"                     for s in styles

s: f"https://storyset.com/illustration/{name}/{s}"

"type": "illustration",                     "title": title,                     "url": f"https://storyset.com{href}",

"title": title,                     "url": f"https://storyset.com{href}",                     "thumbnail": thumbnail,

"url": f"https://storyset.com{href}",

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

print(json.dumps({             "error": f"No API keys configured for {asset_type} sources.",             "hint": "Set at least PEXELS_API_KEY (https://www.pexels.com/api/). Iconify works for icons without any key.",

"error": f"No API keys configured for {asset_type} sources.",             "hint": "Set at least PEXELS_API_KEY (https://www.pexels.com/api/). Iconify works for icons without any key.",             "available_sources": _source_status(),

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

auth_url = (         f"https://freesound.org/apiv2/oauth2/authorize/?"         f"client_id={urllib.parse.quote(client_id)}"

f"https://freesound.org/apiv2/oauth2/authorize/?"         f"client_id={urllib.parse.quote(client_id)}"         f"&response_type=code"

[Credential-related source omitted]

[Credential-related source omitted]

"code": code,     }).encode("utf-8")     req = urllib.request.Request(token_url, data=data, method="POST")

}).encode("utf-8")     req = urllib.request.Request(token_url, data=data, method="POST")     req.add_header("Content-Type", "application/x-www-form-urlencoded")

req = urllib.request.Request(token_url, data=data, method="POST")

try:         with urllib.request.urlopen(req, timeout=15) as resp:

with urllib.request.urlopen(req, timeout=15) as resp:

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

seek_assets.py search sfx "whoosh" --max 5   seek_assets.py search font "bold sans"   seek_assets.py download https://example.com/photo.jpg -o bg.jpg

seek_assets.py search font "bold sans"   seek_assets.py download https://example.com/photo.jpg -o bg.jpg         """,

seek_assets.py download https://example.com/photo.jpg -o bg.jpg

- **MCP endpoint:** `https://asta-tools.allen.ai/mcp/v1`

- **Auth:** `x-api-key` header (request key at <https://share.hsforms.com/1L4hUh20oT3mu8iXJQMV77w3ioxm>)

If no Asta tools are visible, do **not** make raw HTTP calls or invent results. Tell the user to register `https://asta-tools.allen.ai/mcp/v1` as a streamable HTTP MCP server with an `x-api-key` header, then restart/reload the host. Minimal

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

description: Extract and organize frames from a Bilibili video (bangumi episode, UP upload, or a local file) into scenery shots and per-character image groups, using anime-specific person detection + CCIP character-identity embeddings. Two 

license: MIT homepage: https://github.com/Agents365-ai/365-skills/tree/main/plugins/bangumi-frames/skills/bangumi-frames compatibility: Requires ffmpeg and (for downloads) yt-dlp on PATH; Python 3.9+ with dghs-imgutils (anime person detecti

homepage: https://github.com/Agents365-ai/365-skills/tree/main/plugins/bangumi-frames/skills/bangumi-frames

# Mode 1 — cluster everyone into char_NN groups python3 $SKILL https://www.bilibili.com/video/BV15qVm68E2h --out ~/frames

python3 $SKILL https://www.bilibili.com/video/BV15qVm68E2h --out ~/frames python3 $SKILL ep1231575 --out ~/frames           # ep / BV id also accepted python3 $SKILL ~/local.mp4 --out ~/frames          # local file, skips download

[Credential-related source omitted]

#!/usr/bin/env python3

return arg     if arg.startswith("ep"):         return f"https://www.bilibili.com/bangumi/play/{arg}"

if arg.startswith("ep"):         return f"https://www.bilibili.com/bangumi/play/{arg}"     if arg.startswith("BV"):

return f"https://www.bilibili.com/bangumi/play/{arg}"

if arg.startswith("BV"):         return f"https://www.bilibili.com/video/{arg}"     raise CliError("validation_error",

return f"https://www.bilibili.com/video/{arg}"

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

#!/usr/bin/env python3

[Credential-related source omitted]

description: Fetch Bilibili (哔哩哔哩) video comments for UP主 self-analysis. Use when the user asks to collect, download, export, or analyze comments on a Bilibili video (BV号 / URL / UID). Produces JSONL + summary.json suitable for further Clau

license: MIT homepage: https://github.com/Agents365-ai/365-skills/tree/main/plugins/bbc/skills/bbc-skill metadata: {"version":"1.0.4","openclaw":{"requires":{"bins":["python3"]},"emoji":"💬"},"hermes":{"category":"data","tags":["bilibili","c

homepage: https://github.com/Agents365-ai/365-skills/tree/main/plugins/bbc/skills/bbc-skill

- Asks to analyze **audience feedback / sentiment / keywords / top comments /   IP distribution** of their own Bilibili videos. - Provides a Bilibili URL like `https://www.bilibili.com/video/BVxxxxxxxxxx/`.

IP distribution** of their own Bilibili videos. - Provides a Bilibili URL like `https://www.bilibili.com/video/BVxxxxxxxxxx/`. - Mentions their UP主 UID and wants batch analysis across their videos.

- Provides a Bilibili URL like `https://www.bilibili.com/video/BVxxxxxxxxxx/`.

recommended path:    - Install the Chrome/Edge extension      [**Get cookies.txt LOCALLY**](https://chromewebstore.google.com/detail/get-cookiestxt-locally/cclelndahbckbenkjhflpdbgdldlbecc)

- Install the Chrome/Edge extension      [**Get cookies.txt LOCALLY**](https://chromewebstore.google.com/detail/get-cookiestxt-locally/cclelndahbckbenkjhflpdbgdldlbecc)      (open-source, fully local, no upload).

[**Get cookies.txt LOCALLY**](https://chromewebstore.google.com/detail/get-cookiestxt-locally/cclelndahbckbenkjhflpdbgdldlbecc)

python3 -m bbc fetch "https://www.bilibili.com/video/BV1NjA7zjEAU/"

[Credential-related source omitted]

Executable file

Executable file

Executable file

*,         min_interval_sec: float = 1.0,         referer: str = "https://www.bilibili.com/",

min_interval_sec: float = 1.0,         referer: str = "https://www.bilibili.com/",     ):

referer: str = "https://www.bilibili.com/",

referer: str | None = None,     ) -> dict:         req = urllib.request.Request(

) -> dict:         req = urllib.request.Request(             url,

req = urllib.request.Request(

self._throttle()             try:                 with urllib.request.urlopen(req, timeout=15) as resp:

try:                 with urllib.request.urlopen(req, timeout=15) as resp:                     raw = resp.read().decode("utf-8")

with urllib.request.urlopen(req, timeout=15) as resp:

def bv_to_view(client: Client, bvid: str) -> dict:     url = f"https://api.bilibili.com/x/web-interface/view?bvid={bvid}"

url = f"https://api.bilibili.com/x/web-interface/view?bvid={bvid}"

def get_nav(client: Client) -> dict:     return client.get_json("https://api.bilibili.com/x/web-interface/nav")["data"]

return client.get_json("https://api.bilibili.com/x/web-interface/nav")["data"]

def get_tags(client: Client, bvid: str) -> list[dict]:     url = f"https://api.bilibili.com/x/tag/archive/tags?bvid={bvid}"

url = f"https://api.bilibili.com/x/tag/archive/tags?bvid={bvid}"

) -> dict:     url = (         "https://api.bilibili.com/x/v2/reply/main"

url = (         "https://api.bilibili.com/x/v2/reply/main"         f"?type=1&oid={aid}&mode=3&next={next_cursor}&ps={ps}"

"https://api.bilibili.com/x/v2/reply/main"

f"?type=1&oid={aid}&mode=3&next={next_cursor}&ps={ps}"     )     return client.get_json(url, referer=f"https://www.bilibili.com/video/{bvid}/")

return client.get_json(url, referer=f"https://www.bilibili.com/video/{bvid}/")

) -> dict:     url = (         "https://api.bilibili.com/x/v2/reply/reply"

url = (         "https://api.bilibili.com/x/v2/reply/reply"         f"?type=1&oid={aid}&root={root_rpid}&ps={ps}&pn={pn}"

"https://api.bilibili.com/x/v2/reply/reply"

f"?type=1&oid={aid}&root={root_rpid}&ps={ps}&pn={pn}"     )     return client.get_json(url, referer=f"https://www.bilibili.com/video/{bvid}/")

return client.get_json(url, referer=f"https://www.bilibili.com/video/{bvid}/")

}     url = wbi.signed_url(         "https://api.bilibili.com/x/space/wbi/arc/search", params, img_key, sub_key

url = wbi.signed_url(         "https://api.bilibili.com/x/space/wbi/arc/search", params, img_key, sub_key     )

"https://api.bilibili.com/x/space/wbi/arc/search", params, img_key, sub_key

return client.get_json(url, referer=f"https://space.bilibili.com/{uid}")

Executable file

Executable file

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

Executable file

[Credential-related source omitted]

Executable file

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

Executable file

[Credential-related source omitted]

Executable file

client = api.Client(         cookies, min_interval_sec=1.0, referer=f"https://www.bilibili.com/video/{bvid}/"

cookies, min_interval_sec=1.0, referer=f"https://www.bilibili.com/video/{bvid}/"

Executable file

Executable file

Executable file

[Credential-related source omitted]

Executable file

"min": 1,                 "default": None,                 "description": "Max top-level comments to fetch (default: all).",

"default": None,                 "description": "Max top-level comments to fetch (default: all).",             },

"description": "Max top-level comments to fetch (default: all).",

[Credential-related source omitted]

Executable file

Executable file

[**Get cookies.txt LOCALLY**](https://chromewebstore.google.com/detail/get-cookiestxt-locally/cclelndahbckbenkjhflpdbgdldlbecc)

- Install from Chrome Web Store - Visit <https://www.bilibili.com> (stay logged in)

- Visit <https://www.bilibili.com> (stay logged in)

[cookies.txt](https://addons.mozilla.org/firefox/addon/cookies-txt/) add-on,

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

name: excalidraw description: Use when user requests diagrams, flowcharts, architecture charts, or visualizations. Also use proactively when explaining systems with 3+ components, complex data flows, or relationships that benefit from visua

description: Use when user requests diagrams, flowcharts, architecture charts, or visualizations. Also use proactively when explaining systems with 3+ components, complex data flows, or relationships that benefit from visual representation.

homepage: https://github.com/Agents365-ai/365-skills metadata: {"version":"1.3.0","openclaw":{"requires":{"bins":["curl"]},"emoji":"🎨"}} ---

# Just needs curl (pre-installed on macOS/Linux/Windows Git Bash)

curl --version

No additional setup. SVG rendered via `https://kroki.io`.

Need a real AWS / Azure / GCP / network / UML / BPMN icon instead of a plain box? The [Excalidraw community libraries](https://libraries.excalidraw.com) (200+ `.excalidrawlib` files) are built almost entirely from the **same vector primitiv

# SVG via Kroki API curl -s -X POST https://kroki.io/excalidraw/svg \

curl -s -X POST https://kroki.io/excalidraw/svg \

# Via local Kroki Docker (offline) curl -s -X POST http://localhost:8000/excalidraw/svg \

curl -s -X POST http://localhost:8000/excalidraw/svg \

- Overwrite the same `diagram.excalidraw` / output file each round — don't create `v1`, `v2`, … - Re-run **Verify the Render** after each edit (a change can introduce a new clip / overlap). - **Safety valve:** after 5 rounds, suggest the us

- **Safety valve:** after 5 rounds, suggest the user fine-tune in [excalidraw.com](https://excalidraw.com) — the output preserves arrow binding, so it opens fully editable.

#!/usr/bin/env python3

Community libraries (https://libraries.excalidraw.com, repo excalidraw/excalidraw-libraries)

BASE = "https://raw.githubusercontent.com/excalidraw/excalidraw-libraries/main"

def fetch(url, dest):

os.makedirs(os.path.dirname(dest), exist_ok=True)     if not os.path.exists(dest):         urllib.request.urlretrieve(url, dest)

if not os.path.exists(dest):         urllib.request.urlretrieve(url, dest)     return dest

urllib.request.urlretrieve(url, dest)

def load_index():     return json.load(open(fetch(f"{BASE}/libraries.json", f"{CACHE}/libraries.json")))

return json.load(open(fetch(f"{BASE}/libraries.json", f"{CACHE}/libraries.json")))

if os.path.exists(source):         return json.load(open(source))     path = fetch(f"{BASE}/libraries/{source}", f"{CACHE}/{source}")

return json.load(open(source))     path = fetch(f"{BASE}/libraries/{source}", f"{CACHE}/{source}")     return json.load(open(path))

path = fetch(f"{BASE}/libraries/{source}", f"{CACHE}/{source}")

print(f"{lib['source']}\n    {lib['name']} — {len(lib.get('itemNames', []))} items")     if not hits:         print(f"No libraries match '{args.keyword}'. Browse: https://libraries.excalidraw.com")

print(f"No libraries match '{args.keyword}'. Browse: https://libraries.excalidraw.com")

name: figshare-skill description: Use whenever the user wants to interact with Figshare - searching public datasets/articles, downloading Figshare files, listing their own articles/collections/projects, creating or updating articles, or upl

description: Use whenever the user wants to interact with Figshare - searching public datasets/articles, downloading Figshare files, listing their own articles/collections/projects, creating or updating articles, or uploading files (includi

homepage: https://github.com/Agents365-ai/365-skills

Interact with the [Figshare v2 REST API](https://docs.figshare.com/) to search, download, create, and upload research outputs.

- `curl` and `jq` available on PATH. - For authenticated endpoints (anything under `/account/...` or uploads), a **personal token** from <https://figshare.com/account/applications> exported as:

- For authenticated endpoints (anything under `/account/...` or uploads), a **personal token** from <https://figshare.com/account/applications> exported as:

[Credential-related source omitted]

- **Base URL:** `https://api.figshare.com/v2`

[Credential-related source omitted]

curl -s -X POST https://api.figshare.com/v2/articles/search \

curl -s https://api.figshare.com/v2/articles/{article_id} | jq

ART=12345678 curl -s https://api.figshare.com/v2/articles/$ART/files \