القائمة
Exa AI search API via CLI. Use when the user wants to search the web, find code examples, extract page content, or get AI answers with sources.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Hand off the current task to a fresh background agent running in its own workmux worktree, passing a self-contained prompt synthesized from this conversation's context. Use when the user wants to outsource, delegate, or "hand off" implementation work to a separate agent session (e.g. "handoff this fix", "outsource it to a ccd agent", "spin up an agent to do X").
Delegate a code review to pi (`pi /skill:review`) running in a tmux window, then dispatch subagents to fix each finding and check it off the review file. Use when the user wants an automated review-and-fix loop over their current changes.
Teach a topic using the Feynman technique — explain simply, have the user re-explain, identify gaps, re-teach, and loop until they can explain it on their own. Use when the user wants to deeply understand a topic, test their understanding, or mentions "Feynman".
Build a focused 20-hour learning plan for a topic, structured as 10 two-hour sessions following the Pareto principle (20% that drives 80% of results). Use when the user wants to learn a topic fast, build a study plan, or create a structured curriculum.
Create or update a GitHub pull request for the current branch, committing pending changes first. Use when the user wants to open a PR, update an existing PR, or ship a branch for review.
Ask questions about specific GitHub code repositories using DeepWiki. Use when the user asks about a repo's code, architecture, configuration, modules, APIs, examples, or behavior and provides a GitHub repository in owner/repo form or as a GitHub URL.
| name | exacli |
| description | Exa AI search API via CLI. Use when the user wants to search the web, find code examples, extract page content, or get AI answers with sources. |
--toon when fetching content, --json only when piping to jqexacli login to store in OS keychain--text to include full content, --highlights for snippets--poll with research tasks to wait for resultsPick the right command first — wrong command = wrong output:
| Goal | Command |
|---|---|
| Find code examples / implementations | exacli code |
| Web search with content | exacli search --text or --highlights |
| Get a synthesized answer with citations | exacli answer |
| Deep multi-step research report | exacli research --poll (fall back to exacli answer on 404) |
| Fetch specific URL content | exacli contents <url> |
| Find pages similar to a URL | exacli similar <url> |
Measured on 10 results with no content flags (--text/--highlights/--summary off):
| Flag | Chars | Est. tokens | Best for |
|---|---|---|---|
| (none) | ~3,300 | ~830 | Agent contexts with metadata only — omits null/empty fields |
--toon | ~4,200 | ~1,050 | Agent contexts with content — flat key: value, no formatting overhead |
--json | ~5,000 | ~1,250 | Scripting only — most verbose due to null fields + structural chars |
Key insight: --json is ~50% larger than the default for the same data because it includes "highlights": null, "highlightScores": null, "text": "", "summary": "" on every result. Prefer default or --toon to keep context small; reach for --json only when piping to jq.
# Metadata-only: default is most compact
exacli search "query"
# With content: --toon is most compact
exacli search "query" --text --toon
# Scripting: --json when you need jq field extraction
exacli search "query" --json | jq '.results[] | {title, url}'
exacli research-status "task-id" --json | jq '{status, output}'
Search for code examples using the Exa Code API. Use this when the user needs actual code, implementations, or code-focused results — not search.
exacli code <query> [options]
| Option | Description |
|---|---|
--tokens-num <n> | Token budget: dynamic, 1000, 5000, 50000 (default: dynamic) |
exacli search "query" [options]
| Option | Description |
|---|---|
--num-results <n> | Number of results (default: 10) |
--type <auto|fast|deep|instant> | Search type |
--text | Include full text content |
--highlights | Include relevant highlights |
--summary | Include AI-generated summary |
--category <category> | Filter by category |
--include-domains <list> | Comma-separated domains to include |
--exclude-domains <list> | Comma-separated domains to exclude |
--start-date <date> | Start date (ISO format) |
--end-date <date> | End date (ISO format) |
--autoprompt | Use autoprompt to enhance query |
Retrieve content from specific URLs.
exacli contents <url...> [options]
Options: --text, --highlights, --summary, --max-age-hours <n>
Find pages similar to a given URL.
exacli similar <url> [options]
Options: --num-results <n>, --exclude-source-domain, --text, --highlights, --summary, --category <category>
Get AI-powered answers with source citations.
exacli answer "query" [options]
Options: --text, --model <exa|exa-pro>, --stream, --system-prompt <text>
Create automated research tasks. If this returns a 404, fall back to exacli answer.
exacli research "instructions" [options]
Options: --model <fast|regular|pro>, --poll, --poll-interval <ms>, --timeout <ms>
exacli research-status <task-id>
exacli research-list [--limit <n>] [--cursor <token>]
exacli login # store API key in OS keychain
exacli logout # remove API key from OS keychain
| Flag | Description |
|---|---|
--api-key <key> | Exa API key |
--json | Output raw JSON |
--toon | Output compact TOON format |
-h, --help | Show help |
company, research paper, news, pdf, tweet, personal site, financial report, people
| Type | Description |
|---|---|
auto | Automatically chosen (default) |
fast | Quick results |
deep | Thorough, best for research |
instant | Lowest latency |
| Model | Description |
|---|---|
fast | Quick facts |
regular | Balanced (default) |
pro | Highest quality |
# Code search (use code, not search, for code examples)
exacli code "rate limiter implementation Go" --tokens-num 5000
# Semantic search with content
exacli search "AI startups" --num-results 5 --text --toon
# Deep search for research
exacli search "transformer architecture" --type deep --highlights --toon
# Filter by category and date
exacli search "startup funding" --category news --start-date 2024-01-01
# Domain-specific search
exacli search "research" --include-domains "arxiv.org,openai.com"
# Extract content from URLs
exacli contents "https://example.com/article" --text --toon
# Find similar pages
exacli similar "https://openai.com/research" --exclude-source-domain
# AI-powered answers
exacli answer "What is quantum computing?" --stream
# Research with polling (falls back to answer on 404)
exacli research "Latest AI developments" --poll
# fallback:
exacli answer "Latest AI developments" --text
# Check research status
exacli research-status "task-id" --json | jq '{status, output}'
# List research tasks
exacli research-list --limit 10 --json | jq '.data[] | {id, status}'
| Deep multi-step research report | exacli research --poll (fall back to exacli answer on 404) |
| Fetch specific URL content | exacli contents <url> |
| Find pages similar to a URL | exacli similar <url> |
Measured on 10 results with no content flags (--text/--highlights/--summary off):
| Flag | Chars | Est. tokens | Best for |
|---|---|---|---|
| (none) | ~3,300 | ~830 | Agent contexts with metadata only — omits null/empty fields |
--toon | ~4,200 | ~1,050 | Agent contexts with content — flat key: value, no formatting overhead |
--json | ~5,000 | ~1,250 | Scripting only — most verbose due to null fields + structural chars |
Key insight: --json is ~50% larger than the default for the same data because it includes "highlights": null, "highlightScores": null, "text": "", "summary": "" on every result. Prefer default or --toon to keep context small; reach for --json only when piping to jq.
# Metadata-only: default is most compact
exacli search "query"
# With content: --toon is most compact
exacli search "query" --text --toon
# Scripting: --json when you need jq field extraction
exacli search "query" --json | jq '.results[] | {title, url}'
exacli research-status "task-id" --json | jq '{status, output}'
Search for code examples using the Exa Code API. Use this when the user needs actual code, implementations, or code-focused results — not search.
exacli code <query> [options]
| Option | Description |
|---|---|
--tokens-num <n> | Token budget: dynamic, 1000, 5000, 50000 (default: dynamic) |
exacli search "query" [options]
| Option | Description |
|---|---|
--num-results <n> | Number of results (default: 10) |
--type <auto|fast|deep|instant> | Search type |
--text | Include full text content |
--highlights | Include relevant highlights |
--summary | Include AI-generated summary |
--category <category> | Filter by category |
--include-domains <list> | Comma-separated domains to include |
--exclude-domains <list> | Comma-separated domains to exclude |
--start-date <date> | Start date (ISO format) |
--end-date <date> | End date (ISO format) |
--autoprompt | Use autoprompt to enhance query |
Retrieve content from specific URLs.
exacli contents <url...> [options]
Options: --text, --highlights, --summary, --max-age-hours <n>
Find pages similar to a given URL.
exacli similar <url> [options]
Options: --num-results <n>, --exclude-source-domain, --text, --highlights, --summary, --category <category>
Get AI-powered answers with source citations.
exacli answer "query" [options]
Options: --text, --model <exa|exa-pro>, --stream, --system-prompt <text>
Create automated research tasks. If this returns a 404, fall back to exacli answer.
exacli research "instructions" [options]
Options: --model <fast|regular|pro>, --poll, --poll-interval <ms>, --timeout <ms>
exacli research-status <task-id>
exacli research-list [--limit <n>] [--cursor <token>]
exacli login # store API key in OS keychain
exacli logout # remove API key from OS keychain
| Flag | Description |
|---|---|
--api-key <key> | Exa API key |
--json | Output raw JSON |
--toon | Output compact TOON format |
-h, --help | Show help |
company, research paper, news, pdf, tweet, personal site, financial report, people
| Type | Description |
|---|---|
auto | Automatically chosen (default) |
fast | Quick results |
deep | Thorough, best for research |
instant | Lowest latency |
| Model | Description |
|---|---|
fast | Quick facts |
regular | Balanced (default) |
pro | Highest quality |
# Code search (use code, not search, for code examples)
exacli code "rate limiter implementation Go" --tokens-num 5000
# Semantic search with content
exacli search "AI startups" --num-results 5 --text --toon
# Deep search for research
exacli search "transformer architecture" --type deep --highlights --toon
# Filter by category and date
exacli search "startup funding" --category news --start-date 2024-01-01
# Domain-specific search
exacli search "research" --include-domains "arxiv.org,openai.com"
# Extract content from URLs
exacli contents "https://example.com/article" --text --toon
# Find similar pages
exacli similar "https://openai.com/research" --exclude-source-domain
# AI-powered answers
exacli answer "What is quantum computing?" --stream
# Research with polling (falls back to answer on 404)
exacli research "Latest AI developments" --poll
# fallback:
exacli answer "Latest AI developments" --text
# Check research status
exacli research-status "task-id" --json | jq '{status, output}'
# List research tasks
exacli research-list --limit 10 --json | jq '.data[] | {id, status}'