perplexity-search · parcadei — Claude Code skill: what it does, how to install
Runs Perplexity AI web search, deep research, and chain-of-thought reasoning directly from the agent terminal.
npx skills add parcadei/Continuous-Claude-v3 --skill perplexity-search -a claude-codeWhat perplexity-search does
The skill runs web queries through scripts/mcp/perplexity_search.py using uv. It provides five operational modes based on Perplexity's sonar models: quick factual answers via --ask (sonar), raw ranked links without synthesis via --search, multi-source summaries with --research (sonar-pro), structured logic analysis with --reason (sonar-reasoning-pro), and comprehensive reports through --deep (sonar-deep-research).
Direct web search supports time filters via --recency (day, week, month, year), domain constraints with --domains, and result limits from 1 to 20 using --max-results (default is 10).
Execution requires an active PERPLEXITY_API_KEY in your environment or in ~/.claude/.env. The tool will fail immediately if this variable or the uv runner is missing.
What it helps with
- retrieve ranked search results without AI synthesis filtered by recency
- analyze technical architecture trade-offs with step-by-step reasoning
- compile multi-source research reports using
sonar-deep-research - fetch quick answers grounded in real-time web citations
Example prompts for the agent
- Find recent articles on OpenTelemetry agent tracing from the past month using Perplexity
- Compare FastAPI and Django for microservices using Perplexity research mode
- Reason whether to use Neo4j or SQLite for a graph under 10k nodes
How to install perplexity-search
1Skills CLI (Vercel)
npx skills add parcadei/Continuous-Claude-v3 --skill perplexity-search -a claude-code2Manually: put the files in place
~/.claude/skills/perplexity-search/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/perplexity-search/
1Skills CLI (Vercel)
npx skills add parcadei/Continuous-Claude-v3 --skill perplexity-search -a codex2Manually: put the files in place
.agents/skills/perplexity-search/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add parcadei/Continuous-Claude-v3 --skill perplexity-search -a cursor2Manually: put the files in place
.cursor/skills/perplexity-search/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install parcadei/Continuous-Claude-v3 perplexity-search2Manually: put the files in place
.github/skills/perplexity-search/SKILL.md1Skills CLI (Vercel)
npx skills add parcadei/Continuous-Claude-v3 --skill perplexity-search -a gemini-cli2Platform CLI
gemini skills install https://github.com/parcadei/Continuous-Claude-v3 --path .claude/skills/perplexity-searchManually: put the files in place
.devin/skills/perplexity-search/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add parcadei/Continuous-Claude-v3 --skill perplexity-search -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about perplexity-search
How do I install perplexity-search in Claude Code?
Run npx skills add parcadei/Continuous-Claude-v3 --skill perplexity-search -a claude-code in your terminal.
What does perplexity-search do?
It connects the agent to Perplexity API models, enabling web searches, citations, structured reasoning, and deep research tasks from the command line.
What prerequisites are needed for perplexity-search?
You need uv installed to execute the script and a valid PERPLEXITY_API_KEY saved in your environment or ~/.claude/.env.
Source text
SKILL.md · MIT
---
name: perplexity-search
description: AI-powered web search, research, and reasoning via Perplexity
allowed-tools: [Bash, Read]
---
# Perplexity AI Search
Web search with AI-powered answers, deep research, and chain-of-thought reasoning.
## When to Use
- Direct web search for ranked results (no AI synthesis)
- AI-synthesized research with citations
- Chain-of-thought reasoning for complex decisions
- Deep comprehensive research on topics
## Models (2025)
| Model | Purpose |
|-------|---------|
| `sonar` | Lightweight search with grounding |
| `sonar-pro` | Advanced search for complex queries |
| `sonar-reasoning-pro` | Chain of thought reasoning |
| `sonar-deep-research` | Expert-level exhaustive research |
## Usage
### Quick question (AI answer)
```bash
uv run python scripts/mcp/perplexity_search.py \
--ask "What is the latest version of Python?"
```
### Direct web search (ranked results, no AI)
```bash
uv run python scripts/mcp/perplexity_search.py \
--search "SQLite graph database patterns" \
--max-results 5 \
--recency week
```
### AI-synthesized research
```bash
uv run python scripts/mcp/perplexity_search.py \
--research "compare FastAPI vs Django for microservices"
```
### Chain-of-thought reasoning
```bash
uv run python scripts/mcp/perplexity_search.py \
--reason "should I use Neo4j or SQLite for small graph under 10k nodes?"
```
### Deep comprehensive research
```bash
uv run python scripts/mcp/perplexity_search.py \
--deep "state of AI agent observability 2025"
```
## Parameters
| Parameter | Description |
|-----------|-------------|
| `--ask` | Quick question with AI answer (sonar) |
| `--search` | Direct web search - ranked results without AI synthesis |
| `--research` | AI-synthesized research (sonar-pro) |
| `--reason` | Chain-of-thought reasoning (sonar-reasoning-pro) |
| `--deep` | Deep comprehensive research (sonar-deep-research) |
### Search-specific options
| Parameter | Description |
|-----------|-------------|
| `--max-results N` | Number of results (1-20, default: 10) |
| `--recency` | Filter: `day`, `week`, `month`, `year` |
| `--domains` | Limit to specific domains |
## Mode Selection Guide
| Need | Use | Why |
|------|-----|-----|
| Quick fact | `--ask` | Fast, lightweight |
| Find sources | `--search` | Raw results, no AI overhead |
| Synthesized answer | `--research` | AI combines multiple sources |
| Complex decision | `--reason` | Chain-of-thought analysis |
| Comprehensive report | `--deep` | Exhaustive multi-source research |
## Examples
```bash
# Find recent sources on a topic
uv run python scripts/mcp/perplexity_search.py \
--search "OpenTelemetry AI agent tracing" \
--recency month --max-results 5
# Get AI synthesis
uv run python scripts/mcp/perplexity_search.py \
--research "best practices for AI agent logging 2025"
# Make a decision
uv run python scripts/mcp/perplexity_search.py \
--reason "microservices vs monolith for startup MVP"
# Deep dive
uv run python scripts/mcp/perplexity_search.py \
--deep "comprehensive guide to building feedback loops for autonomous agents"
```
## API Key Required
Requires `PERPLEXITY_API_KEY` in environment or `~/.claude/.env`.
© parcadei · MIT · parcadei/Continuous-Claude-v3
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