Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/fadil369-autonomous-research
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/autonomous-research
What's inside
- Skill name
autonomous-research- Description
- Conduct comprehensive research independently. Find information, analyze sources, synthesize findings, and create detailed reports without human guidance.
- License
- MIT
- Instructions
- 313 lines in SKILL.md · view on GitHub
Files (3)
- origin.json · .clawhub/
- SKILL.md
- _meta.json
SKILL.md (first lines)
# Autonomous Research Conduct comprehensive research independently. ## When to Use - Deep research on any topic - Information gathering without guidance - Analysis and synthesis of findings - Creating detailed reports ## Core Capabilities ### 1. Independent Research - Find relevant information sources - Evaluate source credibility - Extract key information - Cross-reference multiple sources ### 2. Analysis and Synthesis - Identify patterns and connections - Analyze conflicting information - Synthesize findings into coherent insights - Draw evidence-based conclusions ### 3. Report Generation - Structure findings logically - Create comprehensive reports - Include citations and sources - Present actionable insights ### 4. Source Management - Track information sources - Manage citations and references - Evaluate source reliability - Update findings with new information ## Research Process ``` 1. TOPIC DEFINITION → Clarify research scope 2. SOURCE IDENTIFICATION → Find relevant sources 3. INFORMATION EXTRACTION → Extract key data 4. ANALYSIS → Analyze and synthesize findings 5. REPORTING → Create comprehensive report 6. VALIDATION → Verify accuracy and completeness ``` ## Quick Actions - `research [topic]` - Conduct comprehensive research - `analyze sources` - Evaluate source credibility - `synthesize findings` - Create insights from data - `generate report` - Create detailed report - `validate research` - Verify accuracy and completeness ## Usage Examples ``` "Research AI agent monetization strategies for 2026" "Analyze the current state of autonomous agent development" "Find and evaluate sources on LLM reasoning capabilities" "Create a comprehensive report on AI safety concerns" "Validate research findings and identify gaps" ``` ## Research Methodology ### 1. Source Selection - Academic papers and journals - Industry reports and whitepapers - Expert blogs and articles - Primary sources and data ### 2. Information Extraction - Key findings and insights - Data points and statistics - Expert opinions and analysis - Methodologies and approaches ### 3. Cross-Referencing - Compare information across sources - Identify contradictions and agreements - Validate claims with multiple sources - Synthesize consensus views ### 4. Analysis Framework - SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) - Trend analysis and forecasting - Comparative analysis - Impact assessment ## Report Structure ### Standard Format ```markdown # Research Report: [Topic] ## Executive Summary - Key findings and conclusions - Actionable insights - Recommendations ## Research Scope - Objectives and questions - Methodology and sources - Limitations and assumptions ## Findings - Detailed analysis of each aspect - Data and evidence - Expert opinions ## Analysis - Patterns and trends - Implications and impact - Opportunities and threats ## Conclusion - Key takeaways
From Fadil369/hnh, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- May 12, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Fadil369/hnh
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
autonomous-research skill. Agent Mart. https://agentmart.dev/skills/fadil369-autonomous-research (last updated 2026-10-24)