Claude Skills for Research: How to Build a Repeatable Research Workflow

TL;DR:

• Stop copy-pasting data between search engines, Claude, and your databases.

• This guide shows you how to build a repeatable research workflow by connecting Claude to Composio as your tool execution layer.

• You'll automate source retrieval, sync briefs directly to Notion, and pull in email threads without writing integration code.

• Managed auth means an expired token never kills a scheduled run again.

OAuth tokens expire on short intervals, and agents running on schedules hit that expiry mid-run. When one credential quietly lapses, the whole system dies. That failure is common: reasoning isn't the bottleneck, the plumbing fails first.

Most advice pushes you toward one of two broken patterns. You either copy-paste text into Claude by hand, or you write glue code that you then own forever. This guide takes a different path: separate Claude (the reasoning engine) from the tool execution layer (Composio), so source retrieval, theme extraction, and database syncing run on autopilot.

What Claude Skills actually are

A Claude research skill is a repeatable loop packaged in a SKILL.md file that Claude Code reads at session start: define a question, pull sources, extract themes, write a brief, and deliver it where you actually work.

A SKILL.md file has three components: a plain-language description of what the skill does, a trigger condition that tells Claude when to invoke it, and a step-by-step procedure mapping each stage to specific tool calls.

Unlike a one-off system prompt, a skill is a version-controlled file that lives in your repository, shareable across projects and invokable by name. Type run research skill and it fires the entire workflow without re-explaining it.

Manual vs AI research workflows

The manual loop is common: search Google, open tabs, copy text, paste it into Claude, reformat the answer, paste it into Notion. Every hand-off interrupts focus, and the process starts over each day. An automated workflow removes the hand-offs, because Claude calls the search tool, reads the results, and files the brief itself.

Here's the mental model, built in three passes:

1. The concept: a research skill is a loop, not a prompt. A prompt answers one question once, while a skill answers a category of questions on a schedule.

2. The translation: think of Claude as the brain and Composio as the nervous system. The brain decides what to look for, and the nervous system carries signals to and from the outside world: search engines, your inbox, your databases.

3. The rebuild: the loop runs in stages (discovery, retrieval, synthesis, delivery), and each stage maps to one Claude behavior plus one connected tool.

On tooling choices: Zapier and Make started as linear, human-triggered automation tools and have both since added AI agent features; for a simple if-this-then-that chain, either is still a reasonable pick. Composio was built for agent execution instead, so every tool returns structured, LLM-friendly data that Claude can reason over directly. Nango gives developer teams code-level control with per-connection pricing, and Composio meters tool calls instead, with a generous free tier: 100,000 tool calls per month, so a solo operator's daily research run costs nothing.

Ensuring consistent output quality

Raw API responses destroy consistent output. A Gmail search returns a wall of unstructured data, and Claude reasoning over that response degrades fast: it hallucinates fields and returns differently shaped answers on each run.

Composio tools return structured, LLM-friendly JSON with schemas built for agent consumption, so Claude sees clean fields instead of raw payloads. Pair that with a fixed output template in your system prompt (same headings, same order, every run) and the briefs stop drifting. Composio can also generate tool inputs from natural language, which keeps the request side as structured as the response side.

Prepare your accounts and data sources

Required software and account access

You need a few accounts to get started:

1. Claude: an Anthropic API key, or a Claude Team account if you prefer working in the app.

2. Composio: the free plan is generous: 100,000 tool calls and 50,000 triggers per month, no credit card required, and hard-capped so there's no surprise bill.

3. Notion: a workspace plus one database to receive research briefs.

4. Gmail: the inbox where research requests and newsletters already land. The point is fewer places to manage credentials: instead of four API consoles and four OAuth consent screens, you authenticate each app once inside Composio and every credential lives in one place. If you work in the terminal, the Claude Code plugin lets the agent use CLI tools natively with those saved credentials.

Time required for initial setup

Getting to your first working tool call is straightforward: create the Composio account, connect one app, run one search. Users report getting integrations live in under 30 minutes, and the full workflow in this guide (search, Notion, Gmail, plus a schedule) can be completed quickly.

How to connect Claude to your research sources

Integrating research feeds with Claude

Claude's context window is finite, and loading schemas for 1,000+ tools would eat it before any research starts. Composio's answer is Meta Tools: inside a session, Claude calls meta tools that search the tool catalog, inspect a schema, and execute the chosen tool, so only the relevant tools ever enter context.

Tool Router handles the provider side. It's a single connection point that manages discovery, auth, and execution across 1,000+ apps in one session. When your research skill needs to "search the web," Tool Router picks from the search providers you've connected, like Exa, SerpApi, or Tavily, based on the query and your credentials. There's no hardcoded if/else in your prompts, and swapping providers later changes nothing in the skill. You can also add specialist search toolkits like Perplexity AI through the same flow.

Two things worth knowing about how Composio built this. Composio builds and maintains the underlying tools rather than proxying third-party servers, so schemas stay clean and behavior stays predictable. And if a service isn't connected yet, In-Chat Auth kicks in: Claude returns a secure Connect Link mid-conversation, you authenticate once, and the run continues.

How to link Notion to your Claude workflow

Connecting Notion is straightforward:

1. Open the Notion integration setup page and authorize access.

2. In the Notion consent screen, choose your workspace and the specific database Claude can write to. Granting access to one database instead of the whole workspace keeps the skill's permissions tight.

3. Confirm the connection shows ACTIVE in Composio.

4. Tell Claude the database name in your system prompt, for example: "File every research brief as a new page in the Research Briefs database.

The Notion toolkit reference lists every available action, and this Notion and Claude Desktop demo shows the MCP version of the same connection if you'd rather run it from the desktop app.

Automating email data import

The Gmail toolkit ships 63 methods covering search, send, labels, and thread management, and each one returns structured JSON. Three research uses matter most:

• Newsletter intake: pull every unread message with your "research" label and extract the links worth retrieving.

• Client requests: read the latest brief from a client thread and turn it into research goals for Step 1.

• Audit trail: label threads as processed so the skill never reads the same email twice.

One system prompt line is enough to start: "Check the research label every morning, extract links from unread threads, and mark those threads processed."

"Composio helped us connect Gmail and Drive within 30 minutes, a pivotal milestone that enabled us to present our MVP in a prominent industry conference, much faster than our development schedule" - Pavan P. on G2

Four phases to master your research automation

Every research run moves through four stages, and each stage maps to a Claude skill plus a Composio tool.

Step 1: Define specific research goals

Vague goals burn tokens. "Research AI trends" forces Claude to guess scope, sources, and depth, and every guess costs tokens on the next run.

Write goals like a brief instead: "Track pricing changes and new feature launches from the top five AI search APIs, published in the last seven days, and prioritize primary sources over aggregators." Put this in the system prompt so it survives every run without retyping.

Step 2: Automate your source retrieval

Install:

uv add composio composio_anthropic anthropic

Configure API Keys

Set COMPOSIO_API_KEY with your API key from Settings and ANTHROPIC_API_KEY with your Anthropic API key.

COMPOSIO_API_KEY=xxxxxxxxx
ANTHROPIC_API_KEY=xxxxxxxxx

Create session and run

import json

import anthropic
from composio import Composio
from composio_anthropic import AnthropicProvider

composio = Composio(provider=AnthropicProvider())
client = anthropic.Anthropic()

# Create a session for your user
session = composio.create(user_id="user_123")
tools = session.tools()

messages = [
{"role": "user", "content": "Send an email to john@example.com with the subject 'Hello' and body 'Hello from Composio!'"}
]

response = client.messages.create(
model="claude-opus-4-6",
max_tokens=4096,
tools=tools,
messages=messages,

)

# Agentic loop: keep executing tool calls until the model responds with text
while response.stop_reason == "tool_use":
tool_use_blocks = [block for block in response.content if block.type == "tool_use"]
results = composio.provider.handle_tool_calls(response=response, session=session)
messages.append({"role": "assistant", "content": response.content})
messages.append({
"role": "user",
"content": [
{"type": "tool_result", "tool_use_id": tool_use_blocks[i].id, "content": json.dumps(result)}
for i, result in enumerate(results)

],

})

response = client.messages.create(
model="claude-opus-4-6",
max_tokens=4096,
tools=tools,
messages=messages,

)

# Print final response
for block in response.content:
if block.type == "text":
print(block.text)

Step 3: Synthesize your research findings

Retrieved text is messy: boilerplate, nav menus, and duplicate posts all eat context window. Composio supports sandboxed execution, giving Claude an isolated environment to clean and process that text before analysis.

Practical extraction jobs for the sandbox: dedupe sources by URL, strip boilerplate, and score each page's relevance against your Step 1 goals, then pass only the survivors to Claude for theme extraction.

Step 4: Deliver your research brief

Fix the brief's shape before anything touches Notion. A template that works: TLDR at the top, findings grouped by theme, sources with links, and open questions at the bottom. Consistent structure means future-you can scan a month of briefs in minutes, and it gives Claude a strict target on every run.

How to package this research workflow as a Claude Skill

Here's a minimal SKILL.md that maps the four-stage pipeline to a Claude Code skill:

# Research Skill

## Description
Runs a weekly research workflow: pull sources from search and email, extract themes, generate a structured brief, and file it to Notion.

## Trigger
When the user says "run research skill" or when scheduled via Composio trigger.

## Steps
1. **Discovery:** Use the Exa search toolkit to find sources matching the research goals defined in the system prompt. Expand queries to cover pricing changes, feature launches, and primary sources from the target list.
2. **Retrieval:** Check the Gmail "research" label for unread threads. Extract links from client requests and newsletters. Mark processed threads with the "processed" label.
3. **Synthesis:** Use sandboxed execution to dedupe sources by URL, strip boilerplate, and score relevance. Extract themes and generate a structured brief with TLDR, findings grouped by theme, sources with links, and open questions.
4. **Delivery:** File the brief as a new page in the Notion "Research Briefs" database using the Notion toolkit.

Claude Code reads this file on session init. When you type run research skill in the chat, Claude executes the four steps in sequence, calling the Composio tools configured earlier in this guide. The SKILL.md defines what to do at each stage, and Composio handles how each tool call executes: OAuth token refresh for Gmail, structured JSON responses from Exa, and page creation in Notion all run through the managed execution layer you connected in Step 2.

Optimizing your AI research task cycles

Set up recurring AI research prompts

Composio Triggers give you event-driven execution, so the skill runs without a human prompt. A practical starting schedule: every Monday at 8am, run the skill on your topic list and file the brief to Notion. Trigger coverage varies by integration, so confirm your apps support the events you need before building around them.

Verifying the full data pipeline

Run this verification pass before you trust the schedule, and you'll spend a handful of API credits at most:

1. Test search with a tiny query: one narrow question with a three-result cap confirms auth and retrieval at minimal cost.

2. Check connection states: every app should show ACTIVE in the Composio dashboard before the run.

3. Run one full cycle manually: never enable a schedule you haven't executed by hand first.

4. Inspect the Notion page: confirm the brief landed with structure intact and sources linked.

5. Read the tool call logs: Composio records metadata for each call (user, team, tool, action, and outcome), so you can confirm each stage fired without digging through payloads.

6. Enable the trigger last: only after one clean manual run.

Start with the free plan: it's generous — 100,000 tool calls a month, no credit card, and hard-capped so there's no surprise bill. Connect Exa, Notion, and Gmail in one sitting, run the skill manually once, then put it on a schedule.

FAQs

How many free tool calls does Composio provide?

The free plan is generous: 100,000 tool calls and 50,000 triggers per month, no credit card required, and hard-capped so there's no surprise bill when you hit the limit.

Does Composio store my research data?

A Zero Data Retention (ZDR) add-on for Pro and Enterprise accounts stops Composio from retaining your request and response payloads. It bills at $0.0001 per tool call plus $0.0005 per trigger event.

What search tools can I connect to Claude?

You can connect Exa, SerpApi, and Tavily through Tool Router, plus specialist toolkits like Perplexity AI and You.com. Tool Router picks the right provider per query based on your connected accounts, so swapping providers never changes your prompts.

How do I handle expired Google API tokens?

Our managed auth layer refreshes OAuth tokens for Google and other providers automatically in the background, so scheduled runs survive weekends without manual re-auth.

Glossary

Model Context Protocol (MCP): a shared standard that lets AI models read data and use tools across different applications safely. Any MCP-compatible client can connect to a Composio MCP server URL with no provider packages needed.

Tool Router: a Composio feature that routes each request to the right connected app based on the user's credentials. It works as a single connection point, so Claude discovers, authenticates, and executes tools in one session.

In-Chat Auth: a feature that lets users authorize third-party apps mid-conversation through a secure Connect Link generated by the agent. Credentials persist across sessions, so there are no re-authentication loops.

Sandboxed execution: a secure, isolated environment where Claude runs code to clean and analyze research data before passing it to the synthesis stage.