Influencer Discovery
tigerless-labs/influencer-discovery
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.
When the user has a campaign brief and needs a ranked shortlist of creators to work with.
$ npx skills add unifapi-agent/agents --skill creator-shortlist -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install unifapi-agent/agents creator-shortlist --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/unifapi-agent/agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/influencer-marketing-agent/creator-shortlist .claude/skills/creator-shortlist && 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 "creator-shortlist" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/influencer-marketing-agent/creator-shortlist into .claude/skills/creator-shortlist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator-shortlist", 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/unifapi-agent/agents/tree/main/skills/influencer-marketing-agent/creator-shortlistType 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 unifapi-agent/agents --skill creator-shortlist -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install unifapi-agent/agents creator-shortlist --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/influencer-marketing-agent/creator-shortlist .agents/skills/creator-shortlist && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "creator-shortlist" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/influencer-marketing-agent/creator-shortlist into .agents/skills/creator-shortlist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator-shortlist", 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 unifapi-agent/agents --skill creator-shortlist -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install unifapi-agent/agents creator-shortlist --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/influencer-marketing-agent/creator-shortlist .cursor/skills/creator-shortlist && 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 "creator-shortlist" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/influencer-marketing-agent/creator-shortlist into .cursor/skills/creator-shortlist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator-shortlist", 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/unifapi-agent/agents.git --path skills/influencer-marketing-agent/creator-shortlist--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 unifapi-agent/agents --skill creator-shortlist -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install unifapi-agent/agents creator-shortlist --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/influencer-marketing-agent/creator-shortlist .gemini/skills/creator-shortlist && 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 "creator-shortlist" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/influencer-marketing-agent/creator-shortlist into .gemini/skills/creator-shortlist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator-shortlist", 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 unifapi-agent/agents creator-shortlistInstalls 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 unifapi-agent/agents --skill creator-shortlist -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/influencer-marketing-agent/creator-shortlist .github/skills/creator-shortlist && 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 "creator-shortlist" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/influencer-marketing-agent/creator-shortlist into .github/skills/creator-shortlist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator-shortlist", 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 unifapi-agent/agents --skill creator-shortlist -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install unifapi-agent/agents creator-shortlist --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/influencer-marketing-agent/creator-shortlist .opencode/skills/creator-shortlist && 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 "creator-shortlist" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/influencer-marketing-agent/creator-shortlist into .opencode/skills/creator-shortlist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creator-shortlist", 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.
creator-shortlistWhen the user has a campaign brief and needs a ranked shortlist of creators to work with.
Creator Shortlist is an agent skill from unifapi-agent/agents. When the user has a campaign brief and needs a ranked shortlist of creators to work with. Also use on "find influencers for," "build a creator list," "who should we sponsor," "shortlist KOLs," "influencer shortlist," "find creators in [niche]," "creators on TikTok/YouTube/Instagram/X for," or "who fits this campaign." Turns a brief into a ranked, evidence-backed shortlist with outreach angles. Read-only research, not outreach.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).
It sits in Marketing & SEO, covering Influencer and creator marketing. It works with TikTok, Instagram, YouTube and X (Twitter). The repository describes itself as: Open-source marketing agents for Claude, ChatGPT, Codex, OpenClaw & Hermes. One plugin: SEO audits, GEO / AI-visibility, local SEO, KOL pricing, social listening & competitive… The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit fb53247. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Creator Shortlist loads about 2.3k tokens when it runs. Until then it costs about 112 tokens; SKILL.md has 900 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.
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.
The full file from unifapi-agent/agents at commit fb53247, republished under its MIT licence (© unifapi-agent). 900 words, ~2,308 tokens.
.claude/skills/creator-shortlist/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.You are a creator-marketing scout who turns a campaign brief into a ranked, evidence-backed shortlist of creators worth approaching — each with a fit score and a specific outreach angle. The operator sends the outreach; you find and rank the candidates.
This is an enhanced skill: it reads live public data through UnifAPI.
A shortlist built from memory is stale and biased toward whoever you already follow. Discovery-first means surfacing candidates from where the audience actually congregates, then grading each one on real engagement — not follower vanity. Use the unifapi skill to connect (OAuth MCP), then work in two passes:
DISCOVER — surface candidates where the target audience lives:
x/communities/search then x/communities/{id}/members (creators inside a topic community), x/lists/search then x/lists/{id}/members (curated creator lists), and x/autocomplete (resolve and expand handles/topics).tiktok/search/users (creators by keyword), tiktok/search/hashtags then tiktok/hashtags/{id}/videos (who's actually ranking under the niche hashtag).youtube/search (videos/channels by keyword) then youtube/channels/{channel_id} (subs/views to qualify the channel).instagram/search (accounts/tags) then instagram/users/{username} (follower size to qualify).PROFILE — qualify every candidate before it earns a rank:
x/users/by/username/{username} — profile + public_metrics (followers, verified, created_at).x/users/{id}/tweets — ~10 recent posts for momentum and engagement (likes/reposts/replies/impressions → engagement rate). The same recent-content read applies on other platforms via the discovery ops above.UnifAPI reads public data only — it never follows, DMs, or posts. Keep any billing metadata so the report can state record cost. The X route map is in ../../unifapi/references/twitter-x.md.
.agents/product-marketing.md / .claude/product-marketing.md first if it exists.) Confirm niche/topic, target platforms, budget band, target audience, campaign goal (awareness / signups / sales), and must-have or excluded traits. If the brief is thin, ask before searching.creator-campaign-ops.| Axis | Weight | What earns points | Signals |
|---|---|---|---|
| Niche relevance | 30 | Recent content squarely on-topic for the product | Topical overlap of recent posts; bio/links; not just keyword in bio |
| Audience fit | 30 | Commenters/followers look like the target customer | Who engages; verified/real follower share; audience language |
| Recent momentum | 25 | Reach and cadence trending up, not stale | Recent-post reach vs. older; posting frequency; no dormancy |
| Platform fit | 15 | The platform suits the campaign goal and creator's strength | Format match (video vs. text); goal fit (awareness vs. signups) |
Fit score = niche(0–30) + audience(0–30) + momentum(0–25) + platform(0–15). Then gates:
audience-fit-check.Tie-break by reach-for-budget: at equal fit, prefer more relevant reach per dollar.
| Fit score | Tier | Action |
|---|---|---|
| 75–100 | A | Shortlist, lead with these |
| 55–74 | B | Shortlist if budget allows |
| 40–54 | C | Backup / niche-specific only |
| <40 | — | Skip (with reason) |
# Creator Shortlist — {Brief} — {date}
| Rank | Creator | Platform | Followers | Eng. rate | Niche | Aud. | Momentum | Platform | Fit | Cost band |
| ---- | -------------- | -------- | --------- | --------- | ----- | ---- | -------- | -------- | ------ | --------- |
| 1 | @devtoolsdaily | X | 84k | 1.8% | 29 | 28 | 23 | 14 | 94 (A) | $400–900 |
| 2 | buildwithlena | YouTube | 120k | 4.1% | 28 | 27 | 20 | 12 | 87 (A) | $1.5–3k |
| 3 | @shipfast_io | X | 22k | 3.0% | 26 | 24 | 23 | 11 | 84 (A) | $200–500 |
## Per shortlisted creator
**@devtoolsdaily** — recent posts are dev-tooling demos; commenters are builders. Discovered via `x/lists/{id}/members` (a "dev tools" list). Angle: replied last week asking for a Postman alternative → offer early access. Collab: oneshot demo.
## Skip / not-now
- @cryptopumpz (X, 200k) — off-niche (trading) + competitor-sponsorship pattern → safety + niche fail, skip.
- buildwithlena flagged "lead big bet": $1.5–3k eats most of budget → can't pair with others.
Records consumed: ~{N} (or estimate if billing metadata unavailable).Each shortlisted creator gets 1–2 lines of cited evidence (the post/metric) and one outreach angle. Each skip entry gets a reason.
Four weighted axes (niche 30, audience 30, momentum 25, platform 15) summed to 0–100, then hard safety / budget / evidence gates that override the raw score. Discovery ops feed candidates; profile ops feed the score. For deep single-creator vetting before spend, hand off to audience-fit-check; to price the X creators that survive, hand off to kol-pricing.
© unifapi-agent, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/influencer-marketing-agent/creator-shortlist of unifapi-agent/agents.
Open the folder on GitHubat commit fb53247
Creator Shortlist 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 |
|---|---|---|---|---|---|---|
| Creator Shortlist this skillunifapi-agent/agents | 589 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Influencer Discoverytigerless-labs/influencer-discovery | 212 | — | ~2.5k | Automated safety check: Notes | None | |
| AI Social Media ContentNeverSight/learn-skills.dev | 216 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Business Contact and Social Links Finderbrowser-act/skills | 6.1k | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Higgsfield Content FactoryDaanKieft/ai-influencer | 116 | — | ~15k | Automated safety check: Pass | None | |
| Transcript IntelligenceScrapeCreators/social-media-research-skills | 3.4k | — | ~943 | Automated safety check: Notes | MIT |
tigerless-labs/influencer-discovery
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.
NeverSight/learn-skills.dev
Create AI-powered social media content for TikTok, Instagram, YouTube, Twitter/X.
browser-act/skills
Finds a company's official website and social profiles from its name, or collects social links from a website URL, using BrowserAct templates run by a Python script.
DaanKieft/ai-influencer
A 5-stage AI content pipeline using Higgsfield MCP, focused on viral UGC content split evenly across 5 formats: UGC Entertainment (challenges), Street Interview, Unboxing, Product Review, ASMR.
ScrapeCreators/social-media-research-skills
A skill your agent uses when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts.
browser-act/skills
Searches Google to discover social media profiles associated with a person, brand, or username; returns platform name, profile URL, username, bio snippet, and follower count across X, Instagram…
unifapi-agent/agents
When the user wants to track how often their brand or domain gets mentioned across ChatGPT and AI search engines over a set of prompts, and how that share of voice compares to named competitors over…
unifapi-agent/agents
When a seller or SDR wants to catch public buying intent on X/Twitter and LinkedIn — someone asking for a tool they sell, complaining about or switching off a competitor, or hiring for a role that…
unifapi-agent/agents
When the user wants to research customers from public communities, or synthesize customer language, pains, and objections.
unifapi-agent/agents
When the user wants to research keywords, find keyword opportunities, run a keyword gap analysis, build topic clusters, or compare what competitors rank for.
unifapi-agent/agents
When the user wants to add, fix, or optimize schema markup and structured data on their site.
unifapi-agent/agents
When the user wants to audit, review, or diagnose SEO issues on their site.
Works with
Categories
When the user has a campaign brief and needs a ranked shortlist of creators to work with. Creator Shortlist is an agent skill from unifapi-agent/agents. When the user has a campaign brief and needs a ranked shortlist of creators to work with.
Creator Shortlist fits situations like: has a campaign brief and needs a ranked shortlist of creators to work with; tasks that involve Influencer and creator marketing.
Run `npx skills add unifapi-agent/agents --skill creator-shortlist -a claude-code`. Or copy the skill folder (skills/influencer-marketing-agent/creator-shortlist in unifapi-agent/agents) into .claude/skills/creator-shortlist in your project. Claude Code loads it when a task matches its description.
Run `npx skills add unifapi-agent/agents --skill creator-shortlist -a codex`. Or copy the skill folder (skills/influencer-marketing-agent/creator-shortlist in unifapi-agent/agents) into .agents/skills/creator-shortlist in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add unifapi-agent/agents --skill creator-shortlist -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/creator-shortlist, .gemini/skills/creator-shortlist, .github/skills/creator-shortlist and .opencode/skills/creator-shortlist in your project.
SKILL.md names no scripts, command-line tools or credentials: Creator Shortlist is instructions for the agent only.
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.
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.
Creator Shortlist is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Creator Shortlist: Influencer Discovery (tigerless-labs/influencer-discovery, 212 stars), AI Social Media Content (NeverSight/learn-skills.dev, 216 stars), Business Contact and Social Links Finder (browser-act/skills, 6.1k stars) and Higgsfield Content Factory (DaanKieft/ai-influencer, 116 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
unifapi-agent (a GitHub organization) maintains it in unifapi-agent/agents, which has 589 GitHub stars. The repository holds 47 skills in this directory. The repository was last updated on September 5, 2026.
Source: unifapi-agent/agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.