Ready-to-use KOL cold outreach templates
KOL Cold Outreach Templates — DM Scripts That Get Replies
Ready-to-use KOL cold outreach templates — DM scripts for Twitter, email pitches, and follow-up sequences designed to get replies from busy influencers. Tested across 500+ creator partnerships.
--- name: kol-outreach description: | Ready-to-use KOL cold outreach templates — DM scripts for Twitter, email pitches, and follow-up sequences designed to get replies from busy influencers. Tested across 500+ creator partnerships. By @WeiYipei. source: https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/kol-outreach tags: - kol-outreach - influencer-marketing - creator-marketing - b2b-influencer - developer-kol - outreach-templates - partnership - cold-outreach - claude-code - ai-agent-skill - agent-skill - latest
Overview
本 skill 默认 dev / B2B 渠道。2C 消费品 / 教育 / 应用：获客主战场是 垂类社区 + 短视频 + 垂直 KOL，按地区公开数据选第一平台（如印尼/泰国短视频已反超 Facebook）。KOL 优先 nano / micro 垂类——粉丝越多互动率越低，micro > mega 性价比更高。完整 2C 渠道数据库 + 公开来源见 → gingiris-seo-geo/references/2c-adaptation.md。
Manual install (npx, ZIP)
Claude Code
npx skills add Gingiris-1031/gingiris-skills --skill kol-outreach -g -a claude-codeClaude Code (manual)
mkdir -p ~/.claude/skills && curl -sL https://codeload.github.com/Gingiris-1031/gingiris-skills/tar.gz/5d40bc8f4094 \
| tar -xz -C ~/.claude/skills --strip-components=2 gingiris-skills-5d40bc8f4094/skills/kol-outreachWindows (PowerShell)
New-Item -ItemType Directory -Force "$HOME\.claude\skills" | Out-Null; Invoke-WebRequest "https://m.agentalley.io/zip/da127c9f0f0ff5cd501f/kol-outreach.zip" -OutFile "$env:TEMP\kol-outreach.zip"; Expand-Archive "$env:TEMP\kol-outreach.zip" -DestinationPath "$HOME\.claude\skills" -ForceClaude.ai / desktop
Codex, Cursor, other agents
Connects with Agent Alley MCP · agentalley.io/mcp
Files included
SKILL.md7.2 KB_meta.json131 B.clawhub/1 file · 144 Breferences/3 files · 10.2 KB
Read the files here
Gingiris-1031/
Shared references1SKILL.md reads these from elsewhere in the repo. Not in the ZIP.
Get them on GitHub ↗SKILL.md
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⚠️ 2C 产品的渠道调整
本 skill 默认 dev / B2B 渠道。2C 消费品 / 教育 / 应用：获客主战场是 垂类社区 + 短视频 + 垂直 KOL，按地区公开数据选第一平台（如印尼/泰国短视频已反超 Facebook）。KOL 优先 nano / micro 垂类——粉丝越多互动率越低，micro > mega 性价比更高。完整 2C 渠道数据库 + 公开来源见 → gingiris-seo-geo/references/2c-adaptation.md。
KOL Cold Outreach Templates — DM Scripts That Get Replies
📦 Install
clawhub install kol-outreach
What you get after installing:
- Platform-specific DM scripts for Twitter, Instagram, and LinkedIn
- 3-touch cold email templates with 40%+ reply rates
- Follow-up cadence and partnership structure frameworks
Stop getting ignored. These templates are battle-tested across 500+ successful creator partnerships.
- DM scripts: Platform-specific templates for Twitter, Instagram, and LinkedIn
- Email sequences: 3-touch cold email templates with 40%+ reply rates
- Value-first approach: How to pitch so creators want to respond
- Follow-up cadence: When to follow up, how many times, and when to stop
- Partnership structures: Paid vs barter vs affiliate — which to propose when
Rate Card & Negotiation Benchmarks (2025–2026 actuals)
Figures below are closed-deal numbers across dozens of campaigns, not list prices:
| Format | Actual paid range | Notes |
|---|---|---|
| X/Twitter quote-tweet | $20–30 in bulk, ~$50 typical | The workhorse unit |
| X/Twitter thread | $80–200 | 10K-view-tier threads land at $50–200 |
| Bundle (thread + single post + quote) | ~$150 all-in | Always ask for the bundle price |
| YouTube dedicated video | $600–800 for sub-100K channels | $1,500 absolute cap — only when avg views 10K+ AND <100K subs AND prior same-category work |
| Instagram Reels | $30–80 | — |
| TikTok short video | $100–300 | — |
| UGC creators | $10–40/post + tiered bonus | e.g. +$20 at 10K views, +$50 at 100K |
Negotiation defaults:
- First quotes are inflated by design — counter at roughly one-third and expect at least two rounds.
- Bundles beat singles on unit cost; a polite second discount ask right before publish often lands.
- Monthly retainers (~$100/mo for 4 quote-tweets) suit teams shipping features weekly.
- Skip agencies: they can't commit to acquisition numbers and stack margin on top.
Where the ROI hides:
- Sweet-spot creators: 1–3K followers with 500–3,000 average views — these KOCs frequently out-convert big accounts per dollar. Second sweet spot: sub-100K subs with 10K+ average views.
- The volume play: one hero post amplified by 50–120 paid quote-tweets can reach ~700K impressions and trigger organic pile-on (field record: 120 quotes → ~700K views plus ~50 unpaid quotes). Measured conversion favors quotes over threads — tilt budget accordingly.
- Prefer creators who have covered a competitor before (audience pre-validated), and require posting during their followers' active hours.
- Your vetted creator roster is a cross-product asset; graduate top performers into affiliates so a one-off buy becomes a permanent channel.
Reply-rate expectations by channel (measured): Telegram DM 20–30% · creator email 17.3% (beats DMs — lead with email) · LinkedIn DM 10–15% · cold expert outreach ~11% · Twitter DM 1–5% (verified account required). No email reply → follow up once via LinkedIn.
Scene-Bound Hooks & AI-Assisted Pipelines (External Field Reference)
Source: Seven Wang Yue (co-founder, Superlinear — Lessie people-search AI agent ~100K users + DeepLink influencer agency, 100+ brands served, $7-8M ARR, 90%+ paid-creator fulfillment), interviewed on Monica出海说, 2026-07.
The most expensive brief mistake: cramming 6-8 selling points into a 15-60s video. That's under 4 seconds per point — scroll-mode viewers retain none of them. The fix is scene binding: pick 1-2 selling points and wrap them in the creator's native scenario. A workplace creator opens with "my boss made me stay late for this — I finished it in 5 minutes"; a photography creator opens with "rescuing my ruined shots in one second." Work backwards from the scene to creator selection: office tools → workplace creators, image/video-gen tools → photography or entertainment creators. One well-bound point converts that creator's audience; eight stacked points convert nobody.
AI-assisted outreach pipeline — assistant, not replacement:
| Stage | Who does it |
|---|---|
| Sourcing, profile matching, first-draft personalized email | AI |
| Sending the email (irreversible), go/no-go, final price | Human |
- Measured lift: one ops person's monthly outreach went from 20 creators to 80-100 (3-4x). Old way: 20 pages of LinkedIn plus per-profile verification; new way: one prompt, a 1-2 minute wait, then human review of the list.
- Feed rejections back into the prompt (why a creator was rejected → exclusion criteria next run). Every correction is training data.
- Rule of thumb: anything irreversible stays human — "someone has to own the mistake."
Getting 90%+ fulfillment from paid creators (no magic):
- Pay + contract. Paid, signed creators delay (schedule slips happen) but rarely ghost; pure-commission and barter deals are where flaking lives.
- Prepayment only through PayPal when unavoidable — its dispute window lets you claw back if the creator doesn't deliver.
- Promise content quality (creator's average production level, brand-approved before publish), never promise conversion or signup numbers — those depend on landing page and checkout, not the creator.
- Review gates: script approved before filming, video approved before publish. Brief the creator on the product first — an untrained creator produces a flat feature-list video.
- What stays hardest to automate long-term isn't negotiation (AI handles that fine) — it's creative spark and empathy. Budget human time there.
Market read: North America + Japan/Korea are the base; LatAm — especially Brazil's solo-operator SMBs paying for AI productivity tools — is underrated, while SEA/South Asia converts poorly. Matches our own field data (same budget: 12 LatAm conversions vs 3 US). Use AI translation for small-language outreach, but keep one culturally-native reviewer for taboos.
Related Gingiris Skills
- Full version: https://clawhub.ai/gingiris-1031/skills/gingiris-launch
- All skills: https://clawhub.ai/gingiris-1031
- Follow: @WeiYipei on X
| 1 | |
| 2 | name kol-outreach |
| 3 | description | |
| 4 | Ready-to-use KOL cold outreach templates — DM scripts for Twitter, email pitches, and follow-up sequences designed to get replies from busy influencers. Tested across 500+ creator partnerships. By @WeiYipei. |
| 5 | source https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/kol-outreach |
| 6 | tags |
| 7 | - kol-outreach |
| 8 | - influencer-marketing |
| 9 | - creator-marketing |
| 10 | - b2b-influencer |
| 11 | - developer-kol |
| 12 | - outreach-templates |
| 13 | - partnership |
| 14 | - cold-outreach |
| 15 | - claude-code |
| 16 | - ai-agent-skill |
| 17 | - agent-skill |
| 18 | - latest |
| 19 | |
| 20 | |
| 21 | ## ⚠️ 2C 产品的渠道调整 |
| 22 | |
| 23 | 本 skill 默认 dev / B2B 渠道。**2C 消费品 / 教育 / 应用**：获客主战场是 **垂类社区 + 短视频 + 垂直 KOL**，按地区公开数据选第一平台（如印尼/泰国短视频已反超 Facebook）。KOL 优先 nano / micro 垂类——粉丝越多互动率越低，micro > mega 性价比更高。完整 2C 渠道数据库 + 公开来源见 → `gingiris-seo-geo/references/2c-adaptation.md`。 |
| 24 | |
| 25 | |
| 26 | # KOL Cold Outreach Templates — DM Scripts That Get Replies |
| 27 | |
| 28 | > 🌍 **Language / 语言**: [中文] | [English] | [日本語] | [한국어] |
| 29 | |
| 30 | ## 📦 Install |
| 31 | |
| 32 | |
| 33 | clawhub install kol-outreach |
| 34 | |
| 35 | |
| 36 | **What you get after installing:** |
| 37 | Platform-specific DM scripts for Twitter, Instagram, and LinkedIn |
| 38 | 3-touch cold email templates with 40%+ reply rates |
| 39 | Follow-up cadence and partnership structure frameworks |
| 40 | |
| 41 | |
| 42 | |
| 43 | Stop getting ignored. These templates are battle-tested across 500+ successful creator partnerships. |
| 44 | |
| 45 | **DM scripts**: Platform-specific templates for Twitter, Instagram, and LinkedIn |
| 46 | **Email sequences**: 3-touch cold email templates with 40%+ reply rates |
| 47 | **Value-first approach**: How to pitch so creators want to respond |
| 48 | **Follow-up cadence**: When to follow up, how many times, and when to stop |
| 49 | **Partnership structures**: Paid vs barter vs affiliate — which to propose when |
| 50 | |
| 51 | ## Rate Card & Negotiation Benchmarks (2025–2026 actuals) |
| 52 | |
| 53 | Figures below are *closed-deal* numbers across dozens of campaigns, not list prices: |
| 54 | |
| 55 | | Format | Actual paid range | Notes | |
| 56 | |---|---|---| |
| 57 | | X/Twitter quote-tweet | $20–30 in bulk, ~$50 typical | The workhorse unit | |
| 58 | | X/Twitter thread | $80–200 | 10K-view-tier threads land at $50–200 | |
| 59 | | Bundle (thread + single post + quote) | ~$150 all-in | Always ask for the bundle price | |
| 60 | | YouTube dedicated video | $600–800 for sub-100K channels | $1,500 absolute cap — only when avg views 10K+ AND <100K subs AND prior same-category work | |
| 61 | | Instagram Reels | $30–80 | — | |
| 62 | | TikTok short video | $100–300 | — | |
| 63 | | UGC creators | $10–40/post + tiered bonus | e.g. +$20 at 10K views, +$50 at 100K | |
| 64 | |
| 65 | **Negotiation defaults:** |
| 66 | First quotes are inflated by design — counter at roughly one-third and expect at least two rounds. |
| 67 | Bundles beat singles on unit cost; a polite second discount ask right before publish often lands. |
| 68 | Monthly retainers (~$100/mo for 4 quote-tweets) suit teams shipping features weekly. |
| 69 | Skip agencies: they can't commit to acquisition numbers and stack margin on top. |
| 70 | |
| 71 | **Where the ROI hides:** |
| 72 | Sweet-spot creators: **1–3K followers with 500–3,000 average views** — these KOCs frequently out-convert big accounts per dollar. Second sweet spot: sub-100K subs with 10K+ average views. |
| 73 | The volume play: one hero post amplified by 50–120 paid quote-tweets can reach ~700K impressions and trigger organic pile-on (field record: 120 quotes → ~700K views plus ~50 unpaid quotes). Measured conversion favors quotes over threads — tilt budget accordingly. |
| 74 | Prefer creators who have covered a competitor before (audience pre-validated), and require posting during their followers' active hours. |
| 75 | Your vetted creator roster is a cross-product asset; graduate top performers into affiliates so a one-off buy becomes a permanent channel. |
| 76 | |
| 77 | **Reply-rate expectations by channel (measured):** Telegram DM 20–30% · creator email 17.3% (beats DMs — lead with email) · LinkedIn DM 10–15% · cold expert outreach ~11% · Twitter DM 1–5% (verified account required). No email reply → follow up once via LinkedIn. |
| 78 | |
| 79 | ## Scene-Bound Hooks & AI-Assisted Pipelines (External Field Reference) |
| 80 | |
| 81 | > Source: Seven Wang Yue (co-founder, Superlinear — Lessie people-search AI agent ~100K users + DeepLink influencer agency, 100+ brands served, $7-8M ARR, 90%+ paid-creator fulfillment), interviewed on Monica出海说, 2026-07. |
| 82 | |
| 83 | **The most expensive brief mistake: cramming 6-8 selling points into a 15-60s video.** That's under 4 seconds per point — scroll-mode viewers retain none of them. The fix is *scene binding*: pick 1-2 selling points and wrap them in the creator's native scenario. A workplace creator opens with "my boss made me stay late for this — I finished it in 5 minutes"; a photography creator opens with "rescuing my ruined shots in one second." Work backwards from the scene to creator selection: office tools → workplace creators, image/video-gen tools → photography or entertainment creators. One well-bound point converts that creator's audience; eight stacked points convert nobody. |
| 84 | |
| 85 | **AI-assisted outreach pipeline — assistant, not replacement:** |
| 86 | |
| 87 | | Stage | Who does it | |
| 88 | |---|---| |
| 89 | | Sourcing, profile matching, first-draft personalized email | AI | |
| 90 | | Sending the email (irreversible), go/no-go, final price | Human | |
| 91 | |
| 92 | Measured lift: one ops person's monthly outreach went from **20 creators to 80-100** (3-4x). Old way: 20 pages of LinkedIn plus per-profile verification; new way: one prompt, a 1-2 minute wait, then human review of the list. |
| 93 | Feed rejections back into the prompt (why a creator was rejected → exclusion criteria next run). Every correction is training data. |
| 94 | Rule of thumb: anything irreversible stays human — "someone has to own the mistake." |
| 95 | |
| 96 | **Getting 90%+ fulfillment from paid creators (no magic):** |
| 97 | Pay + contract. Paid, signed creators delay (schedule slips happen) but rarely ghost; pure-commission and barter deals are where flaking lives. |
| 98 | Prepayment only through PayPal when unavoidable — its dispute window lets you claw back if the creator doesn't deliver. |
| 99 | Promise content quality (creator's average production level, brand-approved before publish), never promise conversion or signup numbers — those depend on landing page and checkout, not the creator. |
| 100 | Review gates: script approved before filming, video approved before publish. Brief the creator on the product first — an untrained creator produces a flat feature-list video. |
| 101 | What stays hardest to automate long-term isn't negotiation (AI handles that fine) — it's creative spark and empathy. Budget human time there. |
| 102 | |
| 103 | **Market read:** North America + Japan/Korea are the base; LatAm — especially Brazil's solo-operator SMBs paying for AI productivity tools — is underrated, while SEA/South Asia converts poorly. Matches our own field data (same budget: 12 LatAm conversions vs 3 US). Use AI translation for small-language outreach, but keep one culturally-native reviewer for taboos. |
| 104 | |
| 105 | ## Related Gingiris Skills |
| 106 | Full version: https://clawhub.ai/gingiris-1031/skills/gingiris-launch |
| 107 | All skills: https://clawhub.ai/gingiris-1031 |
| 108 | Follow: [@WeiYipei on X] |
| 109 |
Details
- Updated
- Sep 20, 2026
- License
- MIT
- Stars on the repo
- ★ 82
- Checked
- Source
- Gingiris-1031/gingiris-skills ↗
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