dianel555/dskills/dskills-2

Name: dskills-2
Author: dianel555

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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.

Install

npx vskill@latest install dianel555/dskills/dskills-2

SKILL.md

Exa Search

High-precision semantic search via Exa API. Standalone CLI only (no MCP dependency).

Execution Method

bash

# Prerequisites: pip install httpx tenacity
# Environment: EXA_API_KEY (required), EXA_API_URL (optional, default: https://api.exa.ai)
 
# All examples assume cwd == skills/exa/. The shim auto-chdirs if you launch
# it from elsewhere (e.g., the repo root).
cd skills/exa
python scripts/exa_cli.py --help

Available Tools

bash

# Basic semantic search (highlights always on; supports inline category:<type>)
python scripts/exa_cli.py web_search_exa --query "TypeScript design patterns" [--num-results 10]
python scripts/exa_cli.py web_search_exa --query "category:company Anthropic AI safety"
 
# Batch URL fetch (urls is a repeatable flag; payload field is upstream `ids`)
python scripts/exa_cli.py web_fetch_exa \
  --urls "https://a.com" --urls "https://b.com" \
  [--max-chars 3000] [--out content.json]
 
# Advanced filtered search (list params are repeatable flags, no comma syntax)
python scripts/exa_cli.py web_search_advanced_exa --query "transformer" \
  [--type auto|fast|instant] [--category research\ paper] \
  [--include-domains arxiv.org --include-domains papers.nips.cc] \
  [--exclude-domains medium.com] \
  [--include-text "attention"] [--exclude-text "tutorial"] \
  [--start-date 2024-01-01] [--end-date 2024-12-31] \
  [--num-results 10] [--max-age-hours 168] \
  [--text] [--highlights] [--summary] \
  [--max-chars 5000]   # only effective when --text is set; emits stderr warning otherwise
  [--out results.json]
 
# Configuration / connectivity probe (omit --no-test to run a numResults=1 ping)
python scripts/exa_cli.py get_config_info [--no-test]
 
# Create an Agent run or resume the same retained run
python scripts/exa_cli.py agent_run --query "Research an evidence-backed market map" [--effort low]
python scripts/exa_cli.py agent_run --run-id agent_run_123 [--wait-seconds 750]

Tool Capability Matrix

Tool	Required	Optional	Output
`web_search_exa`	`--query`	`--num-results` (1-100)	Search results JSON (highlights always present)
`web_fetch_exa`	`--urls` (repeatable, ≥1)	`--max-chars` (default 3000), `--out`	`/contents` response JSON
`web_search_advanced_exa`	`--query`	`--type`, `--category`, repeatable `--include-domains`/`--exclude-domains`/`--include-text`/`--exclude-text`, `--start-date`, `--end-date`, `--num-results`, `--max-age-hours`, `--text`, `--highlights`, `--summary`, `--max-chars`, `--out`	Filtered search results JSON
`get_config_info`	–	`--no-test`	Config + (default) `connection_test`
`agent_run`	exactly one of `--query` / `--run-id`	schema/input files, data sources, prior-run continuation, effort, wait controls, `--out`	Normalized retained-run lifecycle JSON

Global Options

Place before the subcommand:

Option	Purpose
`--api-url`	Override `EXA_API_URL` (does not write to `os.environ`)
`--api-key`	Override `EXA_API_KEY`
`--debug`	Enable JSON debug events on stderr (`EXA_DEBUG=true`) — never logs auth values
`--max-retry-wait <s>`	Cap (seconds) for single retry wait + exponential backoff (default 60, env: `EXA_MAX_RETRY_WAIT`)
`--auth-scheme <scheme>`	Authentication scheme: `x-api-key` (default) or `bearer` for third-party endpoints (env: `EXA_AUTH_SCHEME`)

Tool Routing Guide

Use Case	Recommended Tool
Real-time news, current events	grok-search
Semantic/conceptual research	exa (`web_search_exa`)
Domain or date-bounded research	exa (`web_search_advanced_exa`)
Read full content of one or more URLs	exa (`web_fetch_exa`)
Academic papers, technical docs	exa (`web_search_advanced_exa --include-domains arxiv.org ...`)
Open-ended discovery, multi-hop research, structured list building, prior-run follow-up	exa-agent (`agent_run`)
Homogeneous enrichment over known rows	Deterministic script with bounded concurrency, backoff, checkpoint, and stable output file

Workflow Patterns

Pattern 1: Quick Semantic Search

bash

python scripts/exa_cli.py web_search_exa --query "best practices for React hooks" --num-results 5

Pattern 2: Filtered Research (repeatable flags)

bash

python scripts/exa_cli.py web_search_advanced_exa --query "transformer architecture" \
  --include-domains arxiv.org --include-domains papers.nips.cc \
  --start-date 2023-01-01 --text --summary

Pattern 3: Batch URL Read

bash

python scripts/exa_cli.py web_fetch_exa \
  --urls "https://example.com/a" --urls "https://example.com/b" \
  --max-chars 4000 --out batch.json

Pattern 4: Third-Party Endpoint (Bearer Auth)

bash

# Connect to exa-pool or other Exa-compatible proxy
export EXA_API_URL=https://pool.example.com
export EXA_AUTH_SCHEME=bearer
export EXA_API_KEY=your-bearer-token
 
python scripts/exa_cli.py web_search_exa --query "AI agents" --num-results 5
 
# Or use CLI flags for one-off requests
python scripts/exa_cli.py --auth-scheme bearer --api-url https://pool.example.com \
  web_search_exa --query "AI agents"

Pattern 5: Exa Agent

Read exa-agent.md before creating a run. It defines objective/schema/coverage checks, --run-id versus --previous-run-id, evidence validation, and ZDR limits without duplicating that workflow here.

References

The references/ directory carries 11 prompt-engineering guides. Open them on demand when crafting queries:

File	When to read
`searching.md`	Crafting `web_search_exa` queries (semantic phrasing, category usage)
`extraction.md`	Choosing between highlights / text / summary on advanced search
`filtering.md`	Building include/exclude domain & date filters
`synthesis.md`	Aggregating multiple result sets into a coherent answer
`source-quality.md`	Vetting source credibility
`patterns-code.md`	Code/library research recipes
`patterns-companies.md`	Company research recipes
`patterns-news.md`	Current-events research recipes
`patterns-papers.md`	Academic paper recipes
`patterns-people.md`	People search recipes
`patterns-relationships.md`	Multi-entity relationship research

Error Handling

Error	Recovery
`EXA_API_KEY not configured`	Set environment variable or pass `--api-key`
Search/fetch HTTP 408/429/5xx	Automatic retry with exponential backoff (max 4 attempts, capped by `--max-retry-wait`)
Agent create network/408/429/5xx	Single attempt; report uncertain upstream state and do not create a duplicate
Agent running deadline	Resume the same ID with `agent_run --run-id ...`
HTTP 401	Verify API key
Timeout	Reduce `--num-results` or retry

Output Format

All commands print JSON (ensure_ascii=False, indent 2) to stdout. With --out <file>, the response JSON is written to that path and stdout becomes {"status":"ok","file":"<file>"}. Errors go to stderr as {"error":"<message>"} with non-zero exit.

Agent creation and interruption additionally emit one-line JSON progress events to stderr so the retained run ID remains recoverable without corrupting stdout.

Security

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Model reviewPassed

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Quality evaluation

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Source

SKILL.md in the repositoryCheckingskills/exa/SKILL.md

Popularity

Repository stars: 63
Repository forks: 5
7-day trend score: 21

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 19 Mar 2026, 7 months ago.

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