Localized reading guide
prospectPurpose, usage and source
Build targeted account or contact lists using Common Room's Prospector. Triggers on 'find companies that match [criteria]', 'build a prospect list', 'find contacts at [type of company]', 'show me companies hiring [role]', or any list-building request.
Source retrieved:
- Source repository
- anthropics/knowledge-work-plugins
- SKILL.md
partner-built/common-room/skills/prospect/SKILL.md- Repository stars
- 34,049
- Repository updated
- 2026-10-30
- Categories
- Other
- Last collected
License: License file needs review
Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.
The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.
What this Skill does
Build targeted account or contact lists using Common Room's Prospector. Triggers on 'find companies that match [criteria]', 'build a prospect list', 'find contacts at [type of company]', 'show me companies hiring [role]', or any list-building request.
How the upstream workflow works
Step 0: Load User Context (Me)
Fetch the Me object to get the user's segments. When prospecting against Organization records (accounts already in CR), default to filtering within "My Segments" unless the user asks for a broader search.
Step 1: Gather Targeting Criteria
If criteria are already provided, proceed. Otherwise ask: > "What kind of accounts or contacts are you looking for? For example: company size, industry, job titles, signals like recent product activity or community engagement, geographic region, or specific intent signals like recent funding or job postings." Use the Common Room object catalog to see available filters for each object type. The key distinction: ProspectorOrganization — firmographic and technographic filters only (industry, size, geography, funding, tech stack)
Upstream passage · L34 ↗Step 2: Support Iterative Refinement
Prospecting is conversational. Support multi-turn refinement naturally: Run initial query with provided criteria If results are large (50+), summarize and offer: "I found [N] results. Want to narrow by [suggested filter]?" If results are too few (< 5), suggest: "Only [N] results with those filters — I can broaden by relaxing [specific criterion]."
Upstream passage · L46 ↗Requirements and setup
No short requirements passage was selected from this file. This does not mean the Skill has no dependencies. Check the repository setup instructions and referenced files.
Limits and quality checks
Quality Standards
Always confirm which object type (ProspectorOrg vs Organization) before running the query Default to "My Segments" when querying Organization records, unless user specifies otherwise
Upstream passage · L88 ↗Start with a safe trial
- Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
- Give the agent your real input, desired output and acceptance criteria. Invocation syntax and available tools depend on the host; this site does not assume a universal install command.
- Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
- Validate the output against the source quality checks and your own requirements. A successful trigger or a high repository Star count does not establish a correct result.
Read further in the source
Related Skills
Translation and scope
This reading guide selects passages from the pinned upstream SKILL.md. Translation is assisted. It is not a complete manual or a claim of tested compatibility. Read the original and its referenced files before use.
This introduction refers to the pinned version below; current repository activity and collection time are shown separately.
- Pinned source
- Read the original ↗
- Source retrieved
- Source commit
2574e29377c7173d0cecffef29a6ecbd7f8ccb5d- Source SHA-256
52f94d6084af91a0872a93b4d60ffda3c7578cc6d1d3246819954835d88637b5