Agent skill

Account Research

by w95 in w95/awesome-claude-corporate-skills

Research a company or person and get actionable sales intel.

MITAuto-check passedSales & Support

Install Account Research

skills CLI
$ npx skills add w95/awesome-claude-corporate-skills --skill account-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install w95/awesome-claude-corporate-skills account-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/05-sales/account-research .claude/skills/account-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
account-research
GitHub stars
244
Token cost
~1.8k tokens
SKILL.md length
319 words
Files
1
Skills in repo
42
Repo updated
First seen
Licence
MIT

At a glance

Research a company or person and get actionable sales intel.

  • Works in 5 steps: Parse Request → Web Search (Always) → Enrichment (If Connected) → …
  • With research [company]
  • SKILL.md covers How It Works, Getting Started, Connectors (Optional) and Output Format, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Account Research is an agent skill from w95/awesome-claude-corporate-skills. Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Sales & Support, covering Sales call preparation and Web search. The repository describes itself as: 166 production-ready Claude AI skills organized by corporate role — executive leadership, finance, HR, marketing, sales, legal, operations, engineering, product, data, customer…. The licence is MIT.

When your agent uses it

  • With research [company]
  • Look up [person]
  • Intel on [prospect]
  • Who is [name] at [company]

Example prompts

  • “research [company]”
  • “look up [person]”
  • “intel on [prospect]”
  • “/account-research”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Parse Request
  2. Web Search (Always)
  3. Enrichment (If Connected)
  4. CRM Check (If Connected)
  5. Synthesize

What it can do on your machine

Read from SKILL.md and the folder at commit 78dbc7c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Account Research loads about 1.8k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 319 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from w95/awesome-claude-corporate-skills at commit 78dbc7c, republished under its MIT licence (© w95). 319 words, ~1,838 tokens.

Download SKILL.mdSave it as .claude/skills/account-research/SKILL.md (or your agent's skills folder).
name
account-research
description
Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".

Account Research

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.

How It Works

┌─────────────────────────────────────────────────────────────────┐
│                     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        │
└─────────────────────────────────────────────────────────────────┘

Getting Started

Just tell me who to research:

  • "Research Stripe"
  • "Look up the CTO at Notion"
  • "Intel on acme.com"
  • "Who is Sarah Chen at TechCorp?"
  • "Tell me about [company] before my call"

I'll run web searches immediately. If you have enrichment or CRM connected, I'll pull that data too.


Connectors (Optional)

Connect your tools to supercharge this skill:

ConnectorWhat It Adds
EnrichmentVerified emails, phone numbers, tech stack, org chart, funding details
CRMPrior relationship history, past opportunities, existing contacts, notes

No connectors? No problem. Web search provides solid research for any company or person.


Output Format

markdown
# 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)

Execution Flow

Step 1: Parse Request
Identify what to research:
- "Research Stripe" → Company research
- "Look up John Smith at Acme" → Person + company
- "Who is the CTO at Notion" → Role-based search
- "Intel on acme.com" → Domain-based lookup
Step 2: Web Search (Always)
Run these searches:
1. "[Company name]" → Homepage, about page
2. "[Company name] news" → Recent announcements
3. "[Company name] funding" → Investment history
4. "[Company name] careers" → Hiring signals
5. "[Person name] [Company] LinkedIn" → Profile info
6. "[Company name] product" → What they sell
7. "[Company name] customers" → Who they serve

Extract:

  • Company description and positioning
  • Recent news (last 90 days)
  • Leadership team
  • Open job postings
  • Technology mentions
  • Customer base
Step 3: Enrichment (If Connected)
If enrichment tools available:
1. Enrich company → Firmographics, funding, tech stack
2. Search people → Org chart, contact list
3. Enrich person → Email, phone, background
4. Get signals → Intent data, hiring velocity

Enrichment adds:

  • Verified contact info
  • Complete org chart
  • Precise employee count
  • Detailed tech stack
  • Funding history with investors
Step 4: CRM Check (If Connected)
If CRM available:
1. Search for account by domain
2. Get related contacts
3. Get opportunity history
4. Get activity timeline

CRM adds:

  • Prior relationship context
  • What happened before (won/lost deals)
  • Who we've talked to
  • Notes and history
Step 5: Synthesize
1. Combine all sources
2. Prioritize enrichment data over web (more accurate)
3. Add CRM context if exists
4. Identify qualification signals
5. Generate talking points
6. Recommend approach

Research Variations

Company Research

Focus on: Business overview, news, hiring, leadership

Person Research

Focus on: Background, role, LinkedIn activity, talking points

Competitor Research

Focus on: Product comparison, positioning, win/loss patterns

Pre-Meeting Research

Focus on: Attendee backgrounds, recent news, relationship history


Tips for Better Research

  1. Include the domain — "research acme.com" is more precise
  2. Specify the person — "look up Jane Smith, VP Sales at Acme"
  3. State your goal — "research Stripe before my demo call"
  4. Ask for specifics — "what's their tech stack?" after initial research

  • call-prep — Full meeting prep with this research plus context
  • draft-outreach — Write personalized message based on research
  • prospecting — Qualify and prioritize research targets

© w95, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in 05-sales/account-research of w95/awesome-claude-corporate-skills.

Open the folder on GitHubat commit 78dbc7c

Compare with similar skills

Account Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Account Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Account Research this skillw95/awesome-claude-corporate-skills244—~1.8kAutomated safety check: PassMIT
Meeting Brief GeneratorVarnan-Tech/opendirectory674—~2.2kAutomated safety check: NotesMIT
Company Researchliangdabiao/exa-research-mcp-skill110—~1.1kAutomated safety check: PassNone
Luopan Company Researchzhangxiaoqiang1991/luopan389—~998Automated safety check: PassMIT
Company Researchstophobia/deerflow2.0-enhanced822—~845Automated safety check: PassMIT
Meeting Prep BriefBrianRWagner/ai-marketing-claude-code-skills441—~922Automated safety check: PassNone

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Categories

Questions about Account Research

What does Account Research do?

Research a company or person and get actionable sales intel. Account Research is an agent skill from w95/awesome-claude-corporate-skills. Research a company or person and get actionable sales intel.

When should I use Account Research?

Account Research fits situations like: with research [company]; look up [person]; intel on [prospect]; who is [name] at [company].

How do I install Account Research in Claude Code?

Run `npx skills add w95/awesome-claude-corporate-skills --skill account-research -a claude-code`. Or copy the skill folder (05-sales/account-research in w95/awesome-claude-corporate-skills) into .claude/skills/account-research in your project. Claude Code loads it when a task matches its description.

How do I install Account Research in Codex?

Run `npx skills add w95/awesome-claude-corporate-skills --skill account-research -a codex`. Or copy the skill folder (05-sales/account-research in w95/awesome-claude-corporate-skills) into .agents/skills/account-research in your project. Codex loads it when a task matches its description.

Can I use Account Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add w95/awesome-claude-corporate-skills --skill account-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/account-research, .gemini/skills/account-research, .github/skills/account-research and .opencode/skills/account-research in your project.

What does Account Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Account Research is instructions for the agent only.

Does Account Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Account Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Account Research use?

Account Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Account Research use?

About 1.8k tokens (SKILL.md is roughly 7.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Account Research?

Skills that share tags, products or a category with Account Research: Meeting Brief Generator (Varnan-Tech/opendirectory, 674 stars), Company Research (liangdabiao/exa-research-mcp-skill, 110 stars), Luopan Company Research (zhangxiaoqiang1991/luopan, 389 stars) and Company Research (stophobia/deerflow2.0-enhanced, 822 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Account Research?

w95 (a GitHub user) maintains it in w95/awesome-claude-corporate-skills, which has 244 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on February 26, 2026.

Source: w95/awesome-claude-corporate-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.