Prospect
AnthropicOfficialCreated by Common RoomDistributed by Anthropic
- Skill
- Workflow
- Business and productivity
- Apache-2.0
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The Prospect skill enables users to generate targeted account and contact lists by interacting with Common Room's Prospector. It distinguishes between two primary data sources: ProspectorOrganization for net-new companies and Organization for accounts already present in the user's workspace. The skill supports a conversational, iterative approach to list building, allowing users to refine search criteria based on initial result counts and specific business requirements.
What it does
- Identifies net-new companies based on firmographic and technographic criteria.
- Filters existing workspace accounts using signal-based, score-based, and CRM data.
- Supports multi-turn conversational refinement to narrow or broaden search results.
- Enriches net-new company results with external web search data for better context.
- Provides structured result tables tailored to the specific object type queried.
- Offers follow-up actions like drafting outreach or exporting data to CSV.
When to use it
- When you need to build a new target list for territory planning or top-of-funnel expansion.
- When you want to identify warm accounts or expansion candidates within your existing pipeline.
- When you need to find companies that match specific firmographic or signal-based criteria.
- When you want to perform iterative searches to hone in on a high-quality prospect list.
Advantages
- Prevents data confusion by strictly separating net-new and existing account queries.
- Facilitates natural, iterative refinement of search parameters.
- Provides context-aware suggestions when results are too broad or too narrow.
- Enriches net-new data with supplemental web search findings.
Usage examples
- “Find fintech companies in London I haven't talked to.”
- The agent identifies this as a ProspectorOrganization query and returns a list of net-new companies matching the criteria, potentially enriched with web search data.
- “Show me accounts that haven't engaged in 90 days.”
- The agent identifies this as an Organization query, filters the user's existing workspace accounts, and presents a list of inactive accounts.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/anthropics/prospect-zcq3/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip prospect.zip -d .agents/skills
Documentation by Common Room
Prospecting
Build targeted account and contact lists using Common Room's Prospector. Supports iterative refinement through natural conversation, intent-based discovery, and both net-new prospecting and signal-based queries against existing accounts.
Critical Distinction: Two Object Types
Common Room's Prospector operates against two fundamentally different object types. Always clarify which one is in play before running a query:
ProspectorOrganization — Companies not yet in Common Room
Net-new companies that match specified criteria
Available fields are firmographic only: name, domain, size, industry, capital raised, annual revenue, location
Fewer filter options — no signal-based filters, no scores, no activity history
Use when: building a brand-new target list, territory planning, top-of-funnel expansion
Organization (in Common Room) — Companies already in your CR workspace
Full signal data available: product usage, community activity, CRM fields, scores, custom fields
Much richer filter set — includes signal-based, score-based, segment-based, and firmographic filters
Use when: finding warm accounts to prioritize, identifying expansion candidates, surfacing intent signals within existing pipeline
When a user's request could apply to both (e.g., "Show companies hiring AI engineers this month"), clarify:
"Are you looking for net-new companies not yet in Common Room, or filtering accounts already in your workspace?"
The catalog should make this distinction explicit so the LLM can select the right Prospector endpoint.
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)
Organization — all firmographic filters plus signal-based, score-based, segment-based, and CRM filters
Lookalike search: If the user asks to "find companies like [X]", first look up the reference company in Common Room (or via web search if not in CR). Extract its key attributes — industry, employee range, tech stack, funding stage, geography — and propose those as filter criteria. Present the derived criteria to the user for confirmation before running the search, since lookalike targeting works best when the user can refine which attributes matter most.
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]."
Apply each refinement as a follow-up query, not a new search from scratch
Example flow:
Rep: "Find cybersecurity companies in California." → 500 results
Rep: "Only show ones over 300 employees using AWS." → 47 results
Rep: "Focus on the ones with recent hiring activity." → 12 results ✓
Step 3: Run the Query and Present Results
Execute the Prospector query with confirmed criteria. Sort by signal strength or fit score where available (not alphabetically).
For ProspectorOrganization (net-new) results:
| Company | Domain | Industry | Size | Capital Raised | Revenue | Location |
|---|
For Organization (in CR) results:
| Company | Industry | Size | Top Signal | Signal Date | Score | CRM Stage |
|---|
Flag any results where data is thin or the most recent signal is older than 90 days.
Step 3.5: Enrich Net-New Results with Web Search
For ProspectorOrganization results (net-new companies not in CR), run a quick web search on the top 3–5 companies to add context beyond firmographics. CR has no behavioral signals for these companies, so web search fills the gap — look for recent funding, product launches, leadership changes, or news coverage. Include findings as brief annotations next to each company in the results.
Step 4: Offer Next Steps
"Want me to draft outreach for the top 3–5 prospects?"
"Should I run a full account brief on any of these?"
"Want to refine the criteria or add another filter?"
"I can format this as a CSV if you'd like to export it."
"For any net-new companies here, I can add them to Common Room for enrichment." (future capability)
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
Support iterative refinement — treat each follow-up as a filter adjustment, not a fresh start
Never mix result fields from ProspectorOrganization and Organization in the same list
Fewer high-quality results beat a long unqualified list
Only show data the query returned — leave blank or "—" for missing fields, don't invent values
Reference Files
references/prospect-guide.md— filter types, signal-based sorting, object type distinctions, and list-building strategies
Files
- ATTRIBUTION.mdAdded by AutoGineer1.1 KiB
- LICENSELicence file added by AutoGineer11.1 KiB
- SKILL.md6.0 KiB
- references/prospect-guide.md1.9 KiB
LICENSE
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Requirements and compatibility
Written for: Claude Code, Claude apps
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- Common Room
- Publisher
- Anthropic (Official)
- Distributed by
- Anthropic
- Source
- anthropics/knowledge-work-plugins · partner-built/common-room/skills/prospect · commit e050c2e
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from partner-built/common-room/LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Common Room or Anthropic.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download prospect.zip