How do I install the Perplexity Research skill?

Run npx skillmds@latest add baofeng-tech/perplexity-research-6 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Perplexity Research safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Perplexity Research?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Perplexity Research free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Perplexity Research?

baofeng-tech (@baofeng-tech) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Perplexity Research by baofeng-tech

Name: Perplexity Research
Rating: 4.2 (5 reviews)
Author: baofeng-tech

Perplexity Research

Deep research using Perplexity Sonar models via AIsa API. Provides synthesized answers with citations. Supports 4 models from fast to exhaustive deep research. Use when: the user needs web search, research, source discovery, or content extraction.

baofeng-tech Updated Sep 22, 2026 1 repo stars

File contents

AIsa Perplexity Deep Research

Conduct deep research using Perplexity Sonar models via the AIsa API. Returns synthesized, citation-backed answers instead of raw search results. Choose from four models depending on the depth and complexity needed.

Setup

This skill requires the AISA_API_KEY environment variable. When installed as a Claude plugin, the key is configured via the environment variables.

Usage

Run the search client with the sonar subcommand:

python3 scripts/search_client.py sonar --query "<research question>" --model <model_name>

Arguments

Argument	Required	Default	Description
`--query` / `-q`	Yes	—	Research question or query
`--model` / `-m`	No	sonar	Model to use (see below)

Available Models

Model	Speed	Depth	Best For
`sonar`	Fast	Standard	Quick factual lookups
`sonar-pro`	Medium	Detailed	In-depth topic exploration
`sonar-reasoning-pro`	Slower	Deep	Complex reasoning and analysis
`sonar-deep-research`	Slowest	Exhaustive	Comprehensive research reports

Examples

# Quick factual lookup
python3 scripts/search_client.py sonar --query "What is the current state of quantum computing?"

# Detailed research
python3 scripts/search_client.py sonar --query "Compare transformer and state-space model architectures" --model sonar-pro

# Complex reasoning
python3 scripts/search_client.py sonar --query "Will AGI be achieved by 2030? Analyze arguments for and against." --model sonar-reasoning-pro

# Exhaustive deep research
python3 scripts/search_client.py sonar --query "Comprehensive analysis of AI regulation frameworks worldwide" --model sonar-deep-research

Output

The script prints:

Synthesized answer — A coherent, well-structured response
Citations — Source URLs backing the answer
Cost — API usage cost (when available)

When to Use

Use this skill when the user needs a synthesized, well-researched answer rather than raw search results. Best for complex questions, comparative analyses, trend reports, and any query where a thoughtful, citation-backed response is more valuable than a list of links.

---name: perplexity-research-6description: Deep research using Perplexity Sonar models via AIsa API. Provides synthesized answers with citations. Supports 4 models from fast to exhaustive deep research. Use when: the user needs web search, research, source discovery, or content extraction.---# AIsa Perplexity Deep ResearchConduct deep research using Perplexity Sonar models via the AIsa API. Returns synthesized, citation-backed answers instead of raw search results. Choose from four models depending on the depth and complexity needed.## SetupThis skill requires the `AISA_API_KEY` environment variable. When installed as a Claude plugin, the key is configured via the environment variables.## UsageRun the search client with the `sonar` subcommand:```bashpython3 scripts/search_client.py sonar --query "<research question>" --model <model_name>```### Arguments| Argument | Required | Default | Description ||----------|----------|---------|-------------|| `--query` / `-q` | Yes | — | Research question or query || `--model` / `-m` | No | sonar | Model to use (see below) |### Available Models| Model | Speed | Depth | Best For ||-------|-------|-------|----------|| `sonar` | Fast | Standard | Quick factual lookups || `sonar-pro` | Medium | Detailed | In-depth topic exploration || `sonar-reasoning-pro` | Slower | Deep | Complex reasoning and analysis || `sonar-deep-research` | Slowest | Exhaustive | Comprehensive research reports |### Examples```bash# Quick factual lookuppython3 scripts/search_client.py sonar --query "What is the current state of quantum computing?"# Detailed researchpython3 scripts/search_client.py sonar --query "Compare transformer and state-space model architectures" --model sonar-pro# Complex reasoningpython3 scripts/search_client.py sonar --query "Will AGI be achieved by 2030? Analyze arguments for and against." --model sonar-reasoning-pro# Exhaustive deep researchpython3 scripts/search_client.py sonar --query "Comprehensive analysis of AI regulation frameworks worldwide" --model sonar-deep-research```## OutputThe script prints:- **Synthesized answer** — A coherent, well-structured response- **Citations** — Source URLs backing the answer- **Cost** — API usage cost (when available)## When to UseUse this skill when the user needs a synthesized, well-researched answer rather than raw search results. Best for complex questions, comparative analyses, trend reports, and any query where a thoughtful, citation-backed response is more valuable than a list of links.

Frequently asked questions