Perplexity Search
- 502 installs
- 3.9k repo stars
- Updated January 26, 2026
- parcadei/continuous-claude-v3
perplexity-search is a Claude Code skill that retrieves fresh, cited web research from Perplexity API models for developers who need grounded answers without leaving the agent session.
About
perplexity-search is a parcadei/continuous-claude-v3 skill integrating Perplexity AI search into Claude or Cursor via Bash and Read tools. It supports direct ranked web results, AI-synthesized research with citations, chain-of-thought reasoning, and deep comprehensive research modes. Documented 2025 models include sonar for lightweight grounding, sonar-pro for complex queries, sonar-reasoning-pro for step-by-step reasoning, and sonar-deep-research for expert-level reports. Developers invoke perplexity-search when documentation is stale, comparing frameworks, verifying API behavior, or needing cited external context the local codebase cannot supply.
- Real-time web search via Perplexity API with source citations
- Agent skill that injects live market, competitor, and technical data into prompts
- Reduces hallucination by grounding agent outputs in current information
- Works across research, validation, planning, and debugging contexts
- Seamless MCP-compatible integration with continuous-claude-v3
Perplexity Search by the numbers
- 502 all-time installs (skills.sh)
- +5 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #1,765 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/parcadei/continuous-claude-v3 --skill perplexity-searchAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 502 |
|---|---|
| repo stars | ★ 3.9k |
| Last updated | January 26, 2026 |
| Repository | parcadei/continuous-claude-v3 ↗ |
How do you search the web from Claude Code?
Let their coding agent retrieve fresh, cited web research from Perplexity directly inside Claude or Cursor sessions.
Who is it for?
Developers needing live, cited web research during Claude or Cursor sessions without manual browser tab switching.
Skip if: Searching private repositories or codebases—use semantic code search skills instead of perplexity-search.
When should I use this skill?
User needs current docs, API comparisons, cited research, or deep web investigation from inside the agent.
What you get
Cited research summaries, ranked search results, and reasoning traces sourced from Perplexity sonar model family.
- Cited research summaries
- Ranked search result sets
By the numbers
- Documents 4 Perplexity sonar-family models for 2025
Files
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)
uv run python scripts/mcp/perplexity_search.py \
--ask "What is the latest version of Python?"Direct web search (ranked results, no AI)
uv run python scripts/mcp/perplexity_search.py \
--search "SQLite graph database patterns" \
--max-results 5 \
--recency weekAI-synthesized research
uv run python scripts/mcp/perplexity_search.py \
--research "compare FastAPI vs Django for microservices"Chain-of-thought reasoning
uv run python scripts/mcp/perplexity_search.py \
--reason "should I use Neo4j or SQLite for small graph under 10k nodes?"Deep comprehensive research
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
# 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.
Related skills
Setup Matt Pocock SkillsScaffold the per-repo configuration that Matt Pocock’s engineering agent skills rely on so they understand the issue tracker, triage labels, and domain documentation la495k196k
Lark AppsConnect Claude, Cursor or custom agents directly to Lark (Feishu) for messaging, document automation, approval workflows and enterprise data access.402k
CavemanSlash token usage by roughly 75% while keeping every technical detail intact when working with Claude Code, Cursor or similar agents.391k94.7k
Lark Skill MakerQuickly turn any Lark/Feishu OpenAPI call or multi-step workflow into a reusable agent skill with its own SKILL.md.386k16k
Running Claude Code Via Litellm CopilotRun Claude Code at a fraction of the cost by routing requests through LiteLLM to the GitHub Copilot Chat API.270k72
Codex PetGenerate a complete Codex Pet spritesheet and metadata from one reference image without needing an OpenAI key or Codex Pro.246k10FAQ
Which Perplexity models does perplexity-search support?
perplexity-search documents four 2025 models: sonar for lightweight grounded search, sonar-pro for complex queries, sonar-reasoning-pro for chain-of-thought reasoning, and sonar-deep-research for comprehensive expert reports.
What tools can perplexity-search use?
perplexity-search is configured with allowed-tools Bash and Read. The skill invokes Perplexity via shell/API calls and reads results back into the Claude or Cursor session as cited research.