Complete company and person research powered by web search, enriched with verified contact data and CRM history when available.
Works with
Researches companies and individuals via web search alone, extracting business overview, recent news, hiring signals, leadership team, and product details
Supercharged by optional enrichment connectors that add verified emails, phone numbers, tech stack, org charts, and funding details
Integrates with CRM to surface prior relationship history, past opportuni
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionaccount-researchExecute the skills CLI command in your project's root directory to begin installation:
Fetches account-research from anthropics/knowledge-work-plugins and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate account-research. Access via /account-research in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Get a complete picture of any company or person before outreach. This skill always works with web search, and gets significantly better with enrichment and CRM data.
┌─────────────────────────────────────────────────────────────────┐
│ ACCOUNT RESEARCH │
├─────────────────────────────────────────────────────────────────┤
│ ALWAYS (works standalone via web search) │
│ ✓ Company overview: what they do, size, industry │
│ ✓ Recent news: funding, leadership changes, announcements │
│ ✓ Hiring signals: open roles, growth indicators │
│ ✓ Key people: leadership team from LinkedIn │
│ ✓ Product/service: what they sell, who they serve │
├─────────────────────────────────────────────────────────────────┤
│ SUPERCHARGED (when you connect your tools) │
│ + Enrichment: verified emails, phone, tech stack, org chart │
│ + CRM: prior relationship, past opportunities, contacts │
└─────────────────────────────────────────────────────────────────┘
Just tell me who to research:
I'll run web searches immediately. If you have enrichment or CRM connected, I'll pull that data too.
Connect your tools to supercharge this skill:
| Connector | What It Adds |
|---|---|
| Enrichment | Verified emails, phone numbers, tech stack, org chart, funding details |
| CRM | Prior relationship history, past opportunities, existing contacts, notes |
No connectors? No problem. Web search provides solid research for any company or person.
# Research: [Company or Person Name]
**Generated:** [Date]
**Sources:** Web Search [+ Enrichment] [+ CRM]
---
## Quick Take
[2-3 sentences: Who they are, why they might need you, best angle for outreach]
---
## Company Profile
| Field | Value |
|-------|-------|
| **Company** | [Name] |
| **Website** | [URL] |
| **Industry** | [Industry] |
| **Size** | [Employee count] |
| **Headquarters** | [Location] |
| **Founded** | [Year] |
| **Funding** | [Stage + amount if known] |
| **Revenue** | [Estimate if available] |
### What They Do
[1-2 sentence description of their business, product, and customers]
### Recent News
- **[Headline]** — [Date] — [Why it matters for your outreach]
- **[Headline]** — [Date] — [Why it matters]
### Hiring Signals
- [X] open roles in [Department]
- Notable: [Relevant roles like Engineering, Sales, AI/ML]
- Growth indicator: [Hiring velocity interpretation]
---
## Key People
### [Name] — [Title]
| Field | Detail |
|-------|--------|
| **LinkedIn** | [URL] |
| **Background** | [Prior companies, education] |
| **Tenure** | [Time at company] |
| **Email** | [If enrichment connected] |
**Talking Points:**
- [Personal hook based on background]
- [Professional hook based on role]
[Repeat for relevant contacts]
---
## Tech Stack [If Enrichment Connected]
| Category | Tools |
|----------|-------|
| **Cloud** | [AWS, GCP, Azure, etc.] |
| **Data** | [Snowflake, Databricks, etc.] |
| **CRM** | [e.g. Salesforce, HubSpot] |
| **Other** | [Relevant tools] |
**Integration Opportunity:** [How your product fits with their stack]
---
## Prior Relationship [If CRM Connected]
| Field | Detail |
|-------|--------|
| **Status** | [New / Prior prospect / Customer / Churned] |
| **Last Contact** | [Date and type] |
| **Previous Opps** | [Won/Lost and why] |
| **Known Contacts** | [Names already in CRM] |
**History:** [Summary of past relationship]
---
## Qualification Signals
### Positive Signals
- ✅ [Signal and evidence]
- ✅ [Signal and evidence]
### Potential Concerns
- ⚠️ [Concern and what to watch for]
### Unknown (Ask in Discovery)
- ❓ [Gap in understanding]
---
## Recommended Approach
**Best Entry Point:** [Person and why]
**Opening Hook:** [What to lead with based on research]
**Discovery Questions:**
1. [Question about their situation]
2. [Question about pain points]
3. [Question about decision process]
---
## Sources
- [Source 1](URL)
- [Source 2](URL)
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
account-research has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend account-research for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: account-research is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: account-research is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added account-research from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in account-research — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: account-research is focused, and the summary matches what you get after install.
Registry listing for account-research matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for account-research matched our evaluation — installs cleanly and behaves as described in the markdown.
account-research reduced setup friction for our internal harness; good balance of opinion and flexibility.
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