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by dianeldianel555/dskills65 stars
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High-precision semantic search and content retrieval via Exa API. Use when: (1) Deep research requiring semantic understanding, (2) Code documentation and examples lookup, (3) Company/professional research, (4) AI-powered comprehensive research tasks, (5) URL content extraction with structured output. Triggers: "research", "find papers", "code examples", "company info", "LinkedIn profiles", "deep analysis". Differentiator: Exa excels at semantic/neural search while grok-search is better for real-time news and general web content.

Use this Skill: https://skilld.dev/gh/dianel555/dskills/exa

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referencessynthesis.md

≈566 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Synthesizing Research into Narrative

When the task calls for a narrative answer (not a list or table), this file covers how to synthesize findings from multiple sources into a coherent, well-structured response.

When Synthesis Applies

Synthesis is the right output format when:

  • The user is asking "what do people say about X" or "what's the current state of Y"
  • The answer requires integrating perspectives from multiple sources
  • The output should be prose with citations, not a table of entities

Structure

Lead with the answer

Put the core finding or conclusion first. The user should get value from the first paragraph alone.

Organize by theme, not by source

Bad: "Source A says X. Source B says Y. Source C says Z." Good: "Theme 1: [insight supported by A, B]. Theme 2: [insight supported by C, with counterpoint from A]."

Surface disagreement explicitly

When credible sources disagree, don't collapse to consensus. Present both sides with their evidence:

  • "On [topic], [position A] (supported by [sources]) vs [position B] (supported by [sources]). [When each applies or why they diverge]."

Include confidence signals

  • How many independent sources support a claim?
  • How fresh is the evidence?
  • Are the sources practitioners or commentators?

Thematic Clustering

When dealing with many reactions or perspectives (e.g. "what are people saying about X"):

  1. Read through all results
  2. Identify recurring themes (not just topics -- themes have a stance or direction)
  3. Group results by theme
  4. For each theme: state the theme, cite 2-3 representative sources, note the volume
  5. Flag outlier themes that appear only once but carry important signal

Citation Practice

  • Every factual claim gets a source URL
  • Prefer inline citations: "Engineers report 3x latency reduction (source)"
  • For quotes, include the exact text and attribute it

Common Mistakes

  • Source-by-source summaries: Feels comprehensive but is unreadable and doesn't synthesize
  • Collapsing disagreement: Picking a winner instead of presenting the landscape
  • Missing recency: Treating 2023 sources as current for fast-moving topics
  • Over-synthesis: Producing a full essay when the user asked a narrow question

Source: SKILL.md on GitHub

2 warnings7mo4 checks · Risk SAFE
  • Gen Agent Trust Hub7mo

    The Exa Search CLI is a legitimate and safe skill for performing semantic searches and web crawling via the Exa API. It correctly handles API credentials through environment variables and relies on trusted Python libraries. No malicious behavior or security risks were identified.

  • Socket7mo

    No alerts

  • Snyk7mo

    Risk: MEDIUM · No issues

  • Runlayer7mo

    4/4 files flagged

Signed by skilld at 802b13f. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub last week.

Activeupdated 2 months ago

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