Cold Outbound Optimizer
ericosiu/ai-marketing-skills
Design, analyze, and optimize cold outbound email campaigns for Instantly.
Research a specific person using Common Room data. An agent skill from w95/awesome-claude-corporate-skills.
Install Contact Research
$ npx skills add w95/awesome-claude-corporate-skills --skill contact-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install w95/awesome-claude-corporate-skills contact-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/contact-research .claude/skills/contact-research && rm -rf skills-srcUse ~/.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/
Install the "contact-research" agent skill from https://github.com/w95/awesome-claude-corporate-skills/tree/main/05-sales/contact-research into .claude/skills/contact-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "contact-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/w95/awesome-claude-corporate-skills/tree/main/05-sales/contact-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add w95/awesome-claude-corporate-skills --skill contact-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install w95/awesome-claude-corporate-skills contact-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/05-sales/contact-research .agents/skills/contact-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "contact-research" agent skill from https://github.com/w95/awesome-claude-corporate-skills/tree/main/05-sales/contact-research into .agents/skills/contact-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "contact-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add w95/awesome-claude-corporate-skills --skill contact-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install w95/awesome-claude-corporate-skills contact-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/05-sales/contact-research .cursor/skills/contact-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "contact-research" agent skill from https://github.com/w95/awesome-claude-corporate-skills/tree/main/05-sales/contact-research into .cursor/skills/contact-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "contact-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/w95/awesome-claude-corporate-skills.git --path 05-sales/contact-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add w95/awesome-claude-corporate-skills --skill contact-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install w95/awesome-claude-corporate-skills contact-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/05-sales/contact-research .gemini/skills/contact-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "contact-research" agent skill from https://github.com/w95/awesome-claude-corporate-skills/tree/main/05-sales/contact-research into .gemini/skills/contact-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "contact-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install w95/awesome-claude-corporate-skills contact-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add w95/awesome-claude-corporate-skills --skill contact-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/05-sales/contact-research .github/skills/contact-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "contact-research" agent skill from https://github.com/w95/awesome-claude-corporate-skills/tree/main/05-sales/contact-research into .github/skills/contact-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "contact-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add w95/awesome-claude-corporate-skills --skill contact-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install w95/awesome-claude-corporate-skills contact-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/05-sales/contact-research .opencode/skills/contact-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "contact-research" agent skill from https://github.com/w95/awesome-claude-corporate-skills/tree/main/05-sales/contact-research into .opencode/skills/contact-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "contact-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
contact-research- GitHub stars
- 239
- Token cost
- ~1.3k tokens
- SKILL.md length
- 555 words
- Files
- 2 (incl. references)
- Skills in repo
- 42
- Repo updated
- First seen
- Licence
- MIT
At a glance
Research a specific person using Common Room data. An agent skill from w95/awesome-claude-corporate-skills.
- Works in 5 steps: Locate the Contact → Fetch Contact Fields → Run Spark Enrichment (If Available) → …
- Look up [email]
- SKILL.md covers Step 1: Locate the Contact, Step 2: Fetch Contact Fields, Step 3: Run Spark Enrichment… and Step 4: Assess Account Context, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Contact Research is an agent skill from w95/awesome-claude-corporate-skills. Research a specific person using Common Room data. Triggers on 'who is [name]', 'look up [email]', 'research [contact]', 'is [name] a warm lead', or any contact-level question.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/contact-signals-guide.md`).
It sits in Sales & Support. 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
- Look up [email]
- Research [contact]
- Is [name] a warm lead
- Any contact-level question
Example prompts
- “who is [name]”
- “look up [email]”
- “research [contact]”
- “/contact-research”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
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.
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
Contact Research loads about 1.3k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 555 words of instructions outside code blocks.
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). 555 words, ~1,338 tokens.
Download SKILL.mdSave it as
.claude/skills/contact-research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- contact-research
- description
- Research a specific person using Common Room data. Triggers on 'who is [name]', 'look up [email]', 'research [contact]', 'is [name] a warm lead', or any contact-level question.
Contact Research
Retrieve a comprehensive contact profile from Common Room. Supports lookup by email, social handle, or name + company. Returns enriched data including activity history, Spark, scores, website visits, and CRM fields.
Step 1: Locate the Contact
Common Room supports multiple lookup methods — use whichever the user has provided:
| What the user gives | Lookup method |
|---|---|
| Email address | Look up by email (most reliable) |
| LinkedIn, Twitter/X, or GitHub handle | Look up by social handle — specify handle type explicitly |
| Name + company | Identity resolution by name + org domain; present matches if ambiguous |
| Name only | Search by name; if multiple matches, show a brief list and ask the user to confirm |
If no match is found, respond: "Common Room doesn't have a record for this person." Do not speculate or fabricate profile data.
Step 2: Fetch Contact Fields
Use the Common Room object catalog to see available field groups and their contents. For full profiles, request all groups. For targeted questions, request only what's relevant.
Key field groups to know about:
- Scores — always return as raw values or percentiles, never labels
- Recent activity — use
Contact Initiatedfilter (last 60 days) for their actions, not your team's - Website visits — total count + specific pages (last 12 weeks)
- Spark — retrieve all Sparks when tracking engagement evolution over time
Step 3: Run Spark Enrichment (If Available)
If Spark is available, use it. Spark provides:
- Professional background and job history
- Social presence and influence signals
- Persona classification: Champion, Economic Buyer, Technical Evaluator, End User, or Gatekeeper
- Inferred role in the buying process
If Spark is unavailable but real activity data exists (recent actions, website visits, community engagement), infer a persona from those signals. If neither Spark nor activity data is available, classify as Unknown — do not guess a persona from title alone.
Retrieve all Sparks (not just the most recent) when the user wants to understand how this contact's engagement has evolved over time.
Show full SKILL.md (240 more words)Show less
Step 4: Assess Account Context
Pull an abbreviated account snapshot for this contact's parent company. Note:
- Open opportunities, expansion signals, or churn risk at the account level
- Whether other contacts at this company are also active
- How this person's engagement compares to their colleagues
Step 5: Identify Conversation Angles
Based on activity and signals, surface the strongest 2–3 hooks:
- A recent
Contact Initiatedactivity (community post, product event, support ticket) - A specific web page they visited recently — especially if it signals evaluation intent
- A job change, promotion, or company news
- Their Spark persona and what that suggests about communication style
- Their role in a known active deal
Output Format
Only include sections where data was actually returned. Omit sections with no data rather than filling them with guesses.
When data is rich:
## [Contact Name] — Profile
**Overview**
[2 sentences: who they are, their role, and relationship status]
**Details**
- Title: [title]
- Company: [company]
- Email: [email]
- LinkedIn: [URL]
- Other profiles: [Twitter/X, GitHub, CRM link if available]
**Scores** [If scores returned]
[All scores as raw values or percentiles]
**Recent Activity** (last 60 days) [If activity returned]
[3–5 bullets with dates]
**Website Visits** (last 12 weeks) [If visit data exists]
[Total visit count + list of pages visited]
**Spark Profile** [If Spark data is non-null]
[Persona type, background summary, influence signals]
**Segments** [If segments returned]
[List of segment names this contact belongs to]
**Account Context**
[1–2 sentences on their company's status]
**Conversation Starters**
[2–3 specific, signal-backed openers]When data is sparse (e.g., only name, title, email, tags returned; sparkSummary is null):
## [Contact Name] — Profile (Limited Data)
**Data available:** [List exactly what Common Room returned]
[Present only the returned fields]
**Web Search**
[Any findings from searching their name + company]
**Note:** Common Room has limited data on this contact. No activity history, scores, or Spark profile available. I can run deeper web searches or look up their company for additional context.Do not generate conversation starters, persona inferences, or engagement assessments from sparse data. These require real signals.
Quality Standards
- Lookup must use the correct method for the input type — don't guess on email vs. handle
- Scores as raw/percentile only — never labels
Contact Initiatedactivity (last 60 days) is the primary engagement signal — lead with it- If Spark is unavailable, say so — don't fabricate a persona from title alone
- Flag any contact where the most recent activity is older than 30 days
Reference Files
references/contact-signals-guide.md— full field descriptions, Spark persona guide, and conversation starter principles
© 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
SKILL.md and 1 other file (references) in 05-sales/contact-research of w95/awesome-claude-corporate-skills.
- SKILL.md
- references/contact-signals-guide.md
Open the folder on GitHubat commit 78dbc7c
Compare with similar skills
Contact 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Contact Research this skillw95/awesome-claude-corporate-skills | 239 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Cold Outbound Optimizerericosiu/ai-marketing-skills | 3.6k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Doc Coauthoringaws-samples/sample-strands-agent-with-agentcore | 195 | 41 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Amazon Buy Box Monitorbrowser-act/skills | 6.1k | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Review Analysisliangdabiao/amazon-sorftime-research-MCP-skill | 953 | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Deskcomm Extensaomelgarafael/DeskcommCRM | 4.5k | — | ~2.7k | Automated safety check: Pass | MIT |
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Questions about Contact Research
What does Contact Research do?
Research a specific person using Common Room data. An agent skill from w95/awesome-claude-corporate-skills. Contact Research is an agent skill from w95/awesome-claude-corporate-skills. Research a specific person using Common Room data.
When should I use Contact Research?
Contact Research fits situations like: look up [email]; research [contact]; is [name] a warm lead; any contact-level question.
How do I install Contact Research in Claude Code?
Run `npx skills add w95/awesome-claude-corporate-skills --skill contact-research -a claude-code`. Or copy the skill folder (05-sales/contact-research in w95/awesome-claude-corporate-skills) into .claude/skills/contact-research in your project. Claude Code loads it when a task matches its description.
How do I install Contact Research in Codex?
Run `npx skills add w95/awesome-claude-corporate-skills --skill contact-research -a codex`. Or copy the skill folder (05-sales/contact-research in w95/awesome-claude-corporate-skills) into .agents/skills/contact-research in your project. Codex loads it when a task matches its description.
Can I use Contact 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 contact-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/contact-research, .gemini/skills/contact-research, .github/skills/contact-research and .opencode/skills/contact-research in your project.
What does Contact Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Contact Research is instructions for the agent only.
Does Contact 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 Contact 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 Contact Research use?
Contact 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 Contact Research use?
About 1.3k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 599 tokens, read only when the agent opens those files.
What are the alternatives to Contact Research?
Skills that share tags, products or a category with Contact Research: Cold Outbound Optimizer (ericosiu/ai-marketing-skills, 3.6k stars), Doc Coauthoring (aws-samples/sample-strands-agent-with-agentcore, 195 stars), Amazon Buy Box Monitor (browser-act/skills, 6.1k stars) and Review Analysis (liangdabiao/amazon-sorftime-research-MCP-skill, 953 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Contact Research?
w95 (a GitHub user) maintains it in w95/awesome-claude-corporate-skills, which has 239 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.