investor-outreach
Skill76 starsChanged 8 months agoMITView on GitHub
Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.
39 other projects use a version of this, 30 of them edited.
Adopted by
Most recently taken up by
- Rojios/everything-claude-codeword for word, first seen Nov 8, 2026
- TsinHzl/claude-code-configedited, first seen Nov 1, 2026
- renepf/claude-skillsedited, first seen Oct 25, 2026
- davidanthonyn/claude-skillsword for word, first seen Oct 20, 2026
- gongyijie85/dsh-eccedited, first seen Oct 13, 2026
- MohamedEssam0-0/claude-skillsedited, first seen Oct 11, 2026
Used with
Projects with it also use agent-sort, brand-discovery and 2 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
niloykumarbarmanSkillagent-sort
Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.
Also in 8 projects that use this
ysyecustSkillbrand-discovery
Use when a brand needs to discover or articulate its identity through structured multi-session interviews. Covers purpose, positioning, audience, personality, voice, narrative, and founder-brand tension across 8 modules using laddering, 5 Whys, and projective techniques. Produces a resumable session with disk-persisted state and a master brandbook (90_SYNTHESIS.md).
Also in 4 projects that use this
ysyecustSkillcompetitive-report-structure
Use after benchmark-methodology has produced scored competitor profile cards. Assembles findings into a decision-grade report: landscape map, competitor profiles, benchmarking matrix, white-space analysis, strategic recommendations, and team alignment trigger questions. Final step in the three-skill competitive pipeline.
Also in 4 projects that use this
niloykumarbarmanSkillproduct-capability
Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.
Also in 8 projects that use this
Other versions39 projects use a version of this.
Word for word · 7
- ArogyaReddy/https-github.com-affaan-m-everything-claude-code1★ 2100% same
- pcoulbourne/everything-claude-code★ 1100% same
- Rojios/everything-claude-code★ 1100% same
- SamuelNDCE/claude-super-skill-library★ 1100% same
- SolshineCode/claude-code-skills★ 1100% same
- vivekkhimani/gtm-tools-template★ 1100% same
- davidanthonyn/claude-skills★ 0100% same
Edited · 30
- affaan-m/ECC★ 246k99% same
- xu-xiang/everything-claude-code-zh★ 1.9k19% same
- loulanyue/awesome-claude-notes★ 27278% same
- tpavanipradeep/everything-claude-code★ 10478% same
- mturac/everything-openai-codex★ 8999% same
- Fmarzochi/EGC★ 6199% same
- ysyecust/everything-claude-code★ 4499% same
- j7-dev/everything-github-copilot★ 1978% same
- gongyijie85/dsh-ecc★ 899% same
- Infopibe/everything-claude-code★ 878% same
20 more not listed
Wrote their own version · 2
- Unabyss/unabyss-skills★ 15same name
- rhfl04-dfdf/jychoi_everything-claude-code-ko★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository83 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .codex/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- examples/CLAUDE.mdCLAUDE.md
- .cursor/rules/common-agents.mdCursor rule
- .cursor/rules/common-coding-style.mdCursor rule
- .cursor/rules/common-development-workflow.mdCursor rule
- .cursor/rules/common-git-workflow.mdCursor rule
- .cursor/rules/common-hooks.mdCursor rule
- .cursor/rules/common-patterns.mdCursor rule
- .cursor/rules/common-performance.mdCursor rule
- .cursor/rules/common-security.mdCursor rule
- .cursor/rules/common-testing.mdCursor rule
- .cursor/rules/golang-coding-style.mdCursor rule
- .cursor/rules/golang-hooks.mdCursor rule
- .cursor/rules/golang-patterns.mdCursor rule
- .cursor/rules/golang-security.mdCursor rule
- .cursor/rules/golang-testing.mdCursor rule
- .cursor/rules/kotlin-coding-style.mdCursor rule
- .cursor/rules/kotlin-hooks.mdCursor rule
- .cursor/rules/kotlin-patterns.mdCursor rule
- .cursor/rules/kotlin-security.mdCursor rule
- .cursor/rules/kotlin-testing.mdCursor rule
- .cursor/rules/php-coding-style.mdCursor rule
- .cursor/rules/php-hooks.mdCursor rule
- .cursor/rules/php-patterns.mdCursor rule
- .cursor/rules/php-security.mdCursor rule
- .cursor/rules/php-testing.mdCursor rule
- .cursor/rules/python-coding-style.mdCursor rule
- .cursor/rules/python-hooks.mdCursor rule
- .cursor/rules/python-patterns.mdCursor rule
- .cursor/rules/python-security.mdCursor rule
- .cursor/rules/python-testing.mdCursor rule
- .cursor/rules/swift-coding-style.mdCursor rule
- .cursor/rules/swift-hooks.mdCursor rule
- .cursor/rules/swift-patterns.mdCursor rule
- .cursor/rules/swift-security.mdCursor rule
- .cursor/rules/swift-testing.mdCursor rule
- .cursor/rules/typescript-coding-style.mdCursor rule
- .cursor/rules/typescript-hooks.mdCursor rule
- .cursor/rules/typescript-patterns.mdCursor rule
- .cursor/rules/typescript-security.mdCursor rule
- .cursor/rules/typescript-testing.mdCursor rule
- api-designSkill
- article-writingSkill
- backend-patternsSkill
- brand-voiceSkill
- bun-runtimeSkill
- claude-apiSkill
- coding-standardsSkill
- content-engineSkill
- crosspostSkill
- deep-researchSkill
- dmux-workflowsSkill
- documentation-lookupSkill
- e2e-testingSkill
- eval-harnessSkill
- everything-claude-code-conventionsSkill
- exa-searchSkill
- fal-ai-mediaSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
10 rules. 6 are common, 3 are distinctive, and 1 is very specific to this project.
6
Common
Most of the 29 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 9
Write investor communication that is short, concrete, and easy to act on.
- Common: line 22
Keep the ask low-friction.
- Distinctive: line 23
Use proof instead of adjectives.
- Common: line 25
Never send copy that could go to any investor.
- Very specific: line 29
If the user's voice matters, run brand-voice first and reuse its VOICE PROFILE.
- Distinctive: line 34
Delete and rewrite any of these:
- Common: line 47
ask: one concrete next step
- Distinctive: line 58
If that context is missing, state that the draft still needs personalization instead of pretending it is finished.
- Common: line 67
Do not keep nudging after that unless the user wants a longer sequence.
- Common: line 74
keep the forwardable blurb under 100 words
“Common” is measured: kept by at least 6 in 10 of the 29 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Investor Outreach
Write investor communication that is short, concrete, and easy to act on.
When to Activate
- writing a cold email to an investor
- drafting a warm intro request
- sending follow-ups after a meeting or no response
- writing investor updates during a process
- tailoring outreach based on fund thesis or partner fit
Core Rules
- Personalize every outbound message.
- Keep the ask low-friction.
- Use proof instead of adjectives.
- Stay concise.
- Never send copy that could go to any investor.
Voice Handling
If the user's voice matters, run brand-voice first and reuse its VOICE PROFILE.
This skill should keep the investor-specific structure and ask discipline, not recreate its own parallel voice system.
Hard Bans
Delete and rewrite any of these:
- "I'd love to connect"
- "excited to share"
- generic thesis praise without a real tie-in
- vague founder adjectives
- begging language
- soft closing questions when a direct ask is clearer
Cold Email Structure
- subject line: short and specific
- opener: why this investor specifically
- pitch: what the company does, why now, and what proof matters
- ask: one concrete next step
- sign-off: name, role, and one credibility anchor if needed
Personalization Sources
Reference one or more of:
- relevant portfolio companies
- a public thesis, talk, post, or article
- a mutual connection
- a clear market or product fit with the investor's focus
If that context is missing, state that the draft still needs personalization instead of pretending it is finished.
Follow-Up Cadence
Default:
- day 0: initial outbound
- day 4 or 5: short follow-up with one new data point
- day 10 to 12: final follow-up with a clean close
Do not keep nudging after that unless the user wants a longer sequence.
Warm Intro Requests
Make life easy for the connector:
- explain why the intro is a fit
- include a forwardable blurb
- keep the forwardable blurb under 100 words
Post-Meeting Updates
Include:
- the specific thing discussed
- the answer or update promised
- one new proof point if available
- the next step
Quality Gate
Before delivering:
- the message is genuinely personalized
- the ask is explicit
- the proof point is concrete
- filler praise and softener language are gone
- word count stays tight
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

