Add new skills to an existing workflow and update all related documentation. Use when user wants to add skills from GitHub URLs to a workflow (e.g., "add this skill to the workflow", "为工作流添加技能"). Triggers on adding skills to workflows, updating workflow documentation after skill additions.
npx skills add https://github.com/nicepkg/ai-workflow --skill add-new-skills-to-workflow
Add skills from GitHub to an existing workflow and update all related documentation.
Use skill-downloader to download skills from GitHub:
python .claude/skills/skill-downloader/scripts/download_from_github.py <repo-url> <skill-path> --output <workflow-path>/.claude/skills/
Parse GitHub URL:
https://github.com/user/repo/blob/main/path/to/skill → repo: https://github.com/user/repo, skill-path: path/to/skillhttps://github.com/user/repo/tree/main/.claude/skills/my-skill → repo: https://github.com/user/repo, skill-path: .claude/skills/my-skillExample:
# For URL: https://github.com/XIYO/zheon/blob/main/.claude/skills/slidev
python .claude/skills/skill-downloader/scripts/download_from_github.py https://github.com/XIYO/zheon .claude/skills/slidev --output ./workflows/talk-to-slidev-workflow/.claude/skills/
# Use --force to overwrite existing
python .claude/skills/skill-downloader/scripts/download_from_github.py <repo> <path> --output <target> --force
Read the downloaded SKILL.md to understand:
Add the new skill entry to workflows/<name>/.claude/skill-source.json:
{
"skill-name": {
"source": "https://github.com/user/repo",
"path": "path/to/skill"
}
}
Update these files (all that exist for the workflow):
| File | Updates Required |
|------|------------------|
| workflows/<name>/.claude/skill-source.json | Add new skill source entry |
| workflows/<name>/README.md | Skill count, skill table, pipeline |
| workflows/<name>/README_cn.md | Same as above (Chinese) |
| workflows/<name>/AGENTS.md | Available skills list, recommended sequences |
| website/content/en/workflows/<name>.mdx | Skill count, skill table, pipeline |
| website/content/zh/workflows/<name>.mdx | Same as above (Chinese) |
| README.md (root) | Skill count in workflow table |
| README_cn.md (root) | Same as above (Chinese) |
| `skill-name` | Brief description of what it does |
Stage X: Category
├── existing-skill → Description
└── new-skill → Description
Given: Add slidev and slidev-presentations skills
Step 1: Download
python .claude/skills/skill-downloader/scripts/download_from_github.py https://github.com/XIYO/zheon .claude/skills/slidev --output ./workflows/talk-to-slidev-workflow/.claude/skills/
python .claude/skills/skill-downloader/scripts/download_from_github.py https://github.com/clearfunction/cf-devtools skills/slidev-presentations --output ./workflows/talk-to-slidev-workflow/.claude/skills/
Step 2: Read downloaded skills to understand their purpose
Step 3: Update skill-source.json with new skill entries
Step 4: Update all 8 files:
Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration
Format and structurally validate local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconciliation handoffs, and release gates—not for clinical decision-making.
> provider/change budget/修改卖家/修改预算/draft/草稿/我的任务/my tasks/what am I working on/关闭/取消任务/决策列表/decision list/指定服务商/browse (sender.role = COUNTERPARTY, not you); (3) literal "Read the okx-ai skill" (or legacy "Read the okx-agent-task skill") in the envelope.
Automate payer review of prior authorization (PA) requests. This skill should be used when users say "Review this PA request", "Process prior authorization for [procedure]", "Assess medical necessity", "Generate PA decision", or when processing clinical documentation for coverage policy validation and authorization decisions.
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability.
Orchestrates design workflows by routing work through brainstorming, multi-agent review, and execution readiness in the correct order.
Structured persuasion for tech leads, PMs, and founders—not activity logs. Five scenarios (kickoff, status update, wrap-up, investor pitch, solution selling) on one 5-part framework (Hook→Context→Proposal→Evidence→Ask). AI prompts for missing materials and audience context; pre-submit checklist. Claude Code plugin; Cursor, Codex, and chat via prompts.
Take nicepkg/add-new-skills-to-workflow from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.