Skyll MCP — ユースケース, インストール & ライブデモ

なぜ使うのか

主な機能

Natural-language search across the entire Claude skill ecosystem
Returns skill content inline (not just URLs) — agent can use immediately
Hosted free at api.skyll.app; self-host via pip install skyll
Ranks results 0–100 by relevance; deduplicates across sources
Four MCP tools: search_skills, add_skill, get_skill, get_cache_stats

ライブデモ

実際の動作

skyll-skill.replay ▶ 準備完了

0/0

インストール

クライアントを選択

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "skyll-skill": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.skyll.app/mcp"
      ]
    }
  }
}

Claude Desktop → Settings → Developer → Edit Config を開く。保存後、アプリを再起動。

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "skyll-skill": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.skyll.app/mcp"
      ]
    }
  }
}

Cursor は Claude Desktop と同じ mcpServers スキーマを使用。プロジェクト設定はグローバルより優先。

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "skyll-skill": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.skyll.app/mcp"
      ]
    }
  }
}

Cline サイドバーの MCP Servers アイコンをクリックし、"Edit Configuration" を選択。

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "skyll-skill": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.skyll.app/mcp"
      ]
    }
  }
}

Claude Desktop と同じ形式。Windsurf を再起動して反映。

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "skyll-skill",
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.skyll.app/mcp"
      ]
    }
  ]
}

Continue はマップではなくサーバーオブジェクトの配列を使用。

~/.config/zed/settings.json

{
  "context_servers": {
    "skyll-skill": {
      "command": {
        "path": "npx",
        "args": [
          "-y",
          "mcp-remote",
          "https://api.skyll.app/mcp"
        ]
      }
    }
  }
}

context_servers に追加。保存時に Zed がホットリロード。

claude mcp add skyll-skill -- npx -y mcp-remote https://api.skyll.app/mcp

ワンライナー。claude mcp list で確認、claude mcp remove で削除。

ユースケース

実用的な使い方： Skyll

Let Claude find the right skill mid-task, without you pre-installing

👤 Anyone running Claude Code or Claude Desktop with a shifting set of tasks ⏱ ~5 min beginner

使うタイミング： You ask Claude to do something niche (generate invoices, migrate Redux to Zustand, do a legal review) and you don't know which skill exists for it.

前提条件

Skyll MCP configured — Paste the config block above into your client's MCP settings — uses the hosted endpoint by default

フロー

Ask naturally

I need to produce an investor deck from a one-pager. Use Skyll to find a skill that does this, and apply it.✓ コピーしました

→ Agent calls search_skills, picks the best match (e.g. interactive-slides), and executes its instructions
Verify before running

Before applying, show me the top 3 Skyll matches with their relevance scores, so I can pick.✓ コピーしました

→ 3-row ranked list with short descriptions

結果： Agents reach for the right skill by name when it exists — you stop re-building wheels by hand.

注意点

Low-quality skill ranks #1 because of keyword match — Require the agent to show top-3 + scores; pick manually on first use
Skill content is trusted blindly — Skyll returns SKILL.md; review it like any other prompt before granting tool access

組み合わせ： filesystem

Browse and curate a personal skill library

👤 DevRel, team leads standardizing tools ⏱ ~30 min intermediate

使うタイミング： You want to maintain an approved list of skills your team should use — not random ones pulled at runtime.

フロー

Explore the index

Using Skyll, show me every skill tagged 'code-review' with ≥50 stars. Group by use case.✓ コピーしました

→ Ranked groups: PR review / inline review / static-analysis review
Pick a short list

From that list, pick 3 you'd ship to a team of 10 engineers. Why each?✓ コピーしました

→ 3 picks with trade-off reasoning
Lock them in

Export the 3 SKILL.md files to /ops/approved-skills/ so our onboarding can use fixed versions.✓ コピーしました

→ 3 files on disk; version string captured

結果： Team gets a vetted, versioned skill set — no Wild West installs.

注意点

Upstream skill updates break your workflow — Pin SHA/version when exporting; re-evaluate on a cadence, not automatically

組み合わせ： filesystem

Give an autonomous agent skill-discovery as a first-class primitive

👤 Builders of long-running agents (OpenClaw, custom harnesses) ⏱ ~60 min advanced

使うタイミング： Your agent takes multi-step jobs and shouldn't hit 'I don't know how' when the answer is a one-file skill away.

前提条件

Agent harness that supports MCP — Most Anthropic-ecosystem agents already do

フロー

Add skill discovery to the planner

Update the planner: when a subtask has 'no matching local tool', call Skyll.search_skills first before giving up.✓ コピーしました

→ Planner gains a new branch: local tool → Skyll → web search
Cap the scope

Require every Skyll-fetched skill be reviewed by the supervisor agent before execution. Log the SKILL.md hash.✓ コピーしました

→ Audit trail of every runtime-discovered skill

結果： Agent gracefully expands its capability set without you pre-loading 500 skills.

注意点

Prompt injection via skill content — Treat SKILL.md as untrusted input; sanitize or review before invoking; never auto-approve shell/write tools from a discovered skill

組み合わせ： sequential-thinking

組み合わせ

他のMCPと組み合わせて10倍の力を

skyll-skill + filesystem

Write discovered skills to ~/.claude/skills/ for persistent availability

Search Skyll for 'changelog generator'. If the top match is ≥80 score, save its content to ~/.claude/skills/changelog/SKILL.md.✓ コピーしました

skyll-skill + sequential-thinking

Multi-step plans that call Skyll only when local tools aren't enough

Plan the task; at each step, decide: local tool, Skyll skill, or web fetch. Execute.✓ コピーしました

skyll-skill + memory

Remember which Skyll-discovered skills actually worked for similar tasks

When a Skyll skill succeeds, save to memory under 'skills.working.<tag>'. Next time, prefer saved ones.✓ コピーしました

ツール

このMCPが提供する機能

ツール	入力	呼び出すタイミング	コスト
search_skills	query: str, limit?: int	Primary — natural-language lookup over the skill index	free
get_skill	source: str, id: str	Fetch the full SKILL.md for a candidate you want to use	free
add_skill	name: str (or full path)	Shorthand: search + get in one call	free
get_cache_stats	none	Debug cold-lookup latency; mostly operational	free

コストと制限

運用コスト

APIクォータ: Hosted endpoint is free for reasonable use; self-host for heavy use
呼び出しあたりのトークン: 200–2000 — Skyll returns focused content, not full repo dumps
金額: Free
ヒント: Self-host via pip install skyll when you're hammering search; hosted is fine for one-at-a-time use

セキュリティ

権限、シークレット、影響範囲

認証情報の保管： None for hosted use; self-host uses standard env vars

データ送信先： Queries go to api.skyll.app (hosted) — natural-language search text only

絶対に付与しない： Auto-execute shell commands from a Skyll-discovered SKILL.md without review

Skills discovered at runtime are effectively remote prompts. Prompt-injection and write-tool escalation risk is real. Always require human approval for discovered skills that request filesystem write or shell.
Pin skill versions (by SHA) for anything you ship to production; runtime lookup can surface updated content without notice.

トラブルシューティング

よくあるエラーと対処法

Top result looks irrelevant

Try a more specific query; the free-text index favors keyword-dense phrasing. 'extract PII from PDF files' beats 'handle privacy'.

確認： Compare score field across queries

Hosted endpoint slow

Self-host: pip install skyll && python -m src.mcp_server. Then point the MCP config at http://localhost:8080.

確認： Check tavily-free endpoint at https://api.skyll.app/health

mcp-remote: connection refused

mcp-remote needs the SSE URL reachable. Test with curl https://api.skyll.app/mcp/sse first.

確認： curl -v https://api.skyll.app/mcp/sse

代替案

Skyll 他との比較

代替案	代わりに使う場面	トレードオフ
awesome-claude-skills (list)	You want to browse skills by category, not query at runtime	Human-curated list — lower coverage, higher signal
pre-install every skill	You know your exact workflow and want deterministic behavior	Skill drift and token bloat if you install 100+ just-in-case
web search + filesystem write	You want a general web search, not skill-specific indexing	No relevance scoring against SKILL.md format; more hallucination risk

その他

リソース

📖 GitHub の公式 README を読む

🐙 オープンな issue を見る

🔍 400以上のMCPサーバーとSkillsを見る