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Sub-skill of knowledge-synthesis: For Small Result Sets (1-5 results) (+3).
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/vamseeachanta/workspace-hub --skill knowledge-synthesis-for-small-result-sets-1-5-resultsコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
SOC 職業分類に基づく
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
SKILL.md を表示中
| name | knowledge-synthesis-for-small-result-sets-1-5-results |
| description | Sub-skill of knowledge-synthesis: For Small Result Sets (1-5 results) (+3). |
| version | 1.0.0 |
| category | business |
| type | reference |
| scripts_exempt | true |
Present each result with context. No summarization needed — give the user everything:
[Direct answer synthesized from results]
[Detail from source 1]
[Detail from source 2]
Sources: [full attribution]
Group by theme and summarize each group:
[Overall answer]
Theme 1: [summary of related results]
Theme 2: [summary of related results]
Key sources: [top 3-5 most relevant sources]
Full results: [count] items found across [sources]
Provide a high-level synthesis with the option to drill down:
[Overall answer based on most relevant results]
Summary:
- [Key finding 1] (supported by N sources)
- [Key finding 2] (supported by N sources)
- [Key finding 3] (supported by N sources)
Top sources:
- [Most authoritative/relevant source]
- [Second most relevant]
- [Third most relevant]
Found [total count] results across [source list].
Want me to dig deeper into any specific aspect?