Skill Picker

Discover and recommend the right skills at the right moment.

What this skill does with npx: It runs npx skills find [query] to search the skills registry and display results. It does NOT run npx skills add on its own — install commands are always shown to the user for manual execution or explicit confirmation.

Core Philosophy

Don't match keywords. Understand intent.

The difference:

• - Keyword match: User says "GitHub" → search "github"
• Intent match: User says "我的PR没人review" → understand they need async code review automation → recommend gh-issues + coding-agent as a combination

Always ask: What outcome does the user actually want? Then find the shortest path to that outcome using available skills.

Security principle: npx skills find is used for searching only. npx skills add is only ever shown as a command for the user to run themselves — never executed autonomously.

When to Activate

Explicit triggers (user asks directly)

• - "find a skill for X"
• "is there a skill that can..."
• "how do I automate X"
• "can you do X" (where X is specialized)
• "我想自动化X" / "有没有能做X的skill"
• "帮我找一个可以..."

Implicit triggers (proactive — suggest only, never auto-install)

• - Repetition: User manually does the same thing 2+ times in a session → suggest a skill that could help
• Friction: User copy-pastes between tools → suggest an integration skill
• Capability gap: User asks for something you can't do well alone → find a skill that fills the gap
• Workflow opportunity: User completes step 1 of a multi-step process → suggest skills for steps 2-3

Example proactive suggestion:

User manually summarizes a PDF, then pastes it somewhere else.

→ "I notice you're doing this manually. The summarize skill could automate this flow. Want me to show you how to install it?"

Important: Proactive suggestions are informational only. Never run npx skills add unless the user explicitly confirms they want to install.

Intent Analysis Framework

Before searching, extract three things:

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Intent Translation Examples

Search Process

Step 1: Clarify if ambiguous (max 1 question)

If the intent is unclear, ask ONE focused question:

"Are you looking to automate this completely, or just get help doing it faster?"

Never ask more than one clarifying question. Make a reasonable assumption and proceed.

Step 2: Search with intent-based queries

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Use outcome words, not task words:

• - ❌ npx skills find email (too broad)
• ✅ npx skills find email automation inbox zero (outcome-focused)
• ❌ INLINECODE21
• ✅ npx skills find pull request review automation notify (outcome-focused)

Try 2-3 different query angles before concluding nothing exists.

Step 3: Evaluate results with quality signals

When presenting skills, always include:

• - Download count (from skills.sh) — proxy for reliability
• Combination potential — does it work better with another skill?
• Fit score — how well does this match the user's specific outcome?

Step 4: Recommend combinations, not just single skills

Most outcomes need more than one skill. Think in workflows:

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Response Format

When skills are found

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⚠️ Always present npx skills add commands for the user to run manually — never execute them on behalf of the user without explicit confirmation.

When no skills are found

Don't just give up. Three-part response:

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Common Skill Categories & Best Searches

Productivity & Communication

Need	Search query	Top skills
Email management	INLINECODE24	INLINECODE25, INLINECODE26
Calendar scheduling

calendar scheduling meeting | gog |

Development & Code

Need	Search query	Top skills
PR review	INLINECODE35	INLINECODE36, INLINECODE37
Issue management

github issues automate | github, gh-issues |

Knowledge & Research

Need	Search query	Top skills
Summarize content	INLINECODE46	INLINECODE47
Monitor updates

monitor rss blog watch | blogwatcher |

System & Automation

Need	Search query	Top skills
Self-improvement	INLINECODE54	INLINECODE55
Find more skills

discover install skills | skill-picker |

Hardware & Home

Need	Search query	Top skills
Music control	INLINECODE62	INLINECODE63
Sleep tracking

sleep pod temperature | eightctl |

Proactive Skill Suggestions (Mid-conversation)

If during any task you notice a skill would significantly improve the outcome, mention it naturally:

"There's a skill called [name] that would help here. Want me to show you the install command?"

Then wait for the user to confirm before providing the command. Do not run any install command proactively.

Threshold for suggesting: skill would save >2 manual steps OR significantly improve output quality.

Don't suggest more than one new skill per conversation unless the user is explicitly building a workflow.

Commands Reference

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ℹ️ npx skills add is intentionally shown without -g or -y flags. Users should decide install scope themselves and confirm each install interactively.

Quality Signals to Always Check

Before recommending, verify at skills.sh:

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Language Support

This skill operates in the user's language.

• - If user writes in Chinese → respond in Chinese, search in English, present results in Chinese
• If user writes in English → respond in English throughout

Chinese intent → English search translation examples:

• - "帮我自动回复邮件" → INLINECODE72
• "监控竞品网站更新" → INLINECODE73
• "整理我的GitHub Issues" → INLINECODE74
• "把会议内容发给团队" → INLINECODE75