Agent skill

Creator Shortlist

by unifapi-agent in unifapi-agent/agents

When the user has a campaign brief and needs a ranked shortlist of creators to work with.

MITAuto-check passedMarketing & SEO

Install Creator Shortlist

skills CLI
$ npx skills add unifapi-agent/agents --skill creator-shortlist -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install unifapi-agent/agents creator-shortlist --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
creator-shortlist
GitHub stars
589
Token cost
~2.3k tokens
SKILL.md length
900 words
Files
2
Skills in repo
47
Repo updated
First seen
Licence
MIT

At a glance

When the user has a campaign brief and needs a ranked shortlist of creators to work with.

  • Works in 7 steps: Lock the brief — required. (Read… → Discover per platform. Run the DISCOVER… → Profile each candidate. Pull… → …
  • Has a campaign brief and needs a ranked shortlist of creators to work with
  • SKILL.md covers Use UnifAPI for live evidence, Workflow, Output: ranked creator shortlist and Scoring / Method, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • Has a campaign brief and needs a ranked shortlist of creators to work with
  • Tasks that involve Influencer and creator marketing

Example prompts

  • “find influencers for,”
  • “build a creator list,”
  • “who should we sponsor,”
  • “/creator-shortlist”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Lock the brief — required. (Read .agents/product-marketing.md / .claude/product-marketing.md first if it exists.) Confirm niche/topic…
  2. Discover per platform. Run the DISCOVER ops above — communities, lists, hashtag pages, keyword searches — and collect 15–30 candidates…
  3. Profile each candidate. Pull follower/subscriber count, recent-post engagement rate, posting cadence, account age, and topical relevance…
  4. Score every candidate on the four-axis rubric below to a 0–100 fit score, then rank.
  5. Apply gates (safety, budget, evidence) — they override raw score.
  6. Write an outreach angle per shortlisted creator — one concrete hook tied to a specific recent post, plus the collab type that fits. The…
  7. Stop at the shortlist unless the user asks for full campaign ops. If they need budget forecasting, confirmation decisions, content…

What it can do on your machine

Read from SKILL.md and the folder at commit fb53247. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~112
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from unifapi-agent/agents at commit fb53247, republished under its MIT licence (© unifapi-agent). 900 words, ~2,308 tokens.

Download SKILL.mdSave it as .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.
name
creator-shortlist
description
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.
license
MIT
metadata.author
UnifAPI
metadata.version
1.0.0

Creator Shortlist

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.

Use UnifAPI for live evidence

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 / Twitter — 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 — tiktok/search/users (creators by keyword), tiktok/search/hashtags then tiktok/hashtags/{id}/videos (who's actually ranking under the niche hashtag).
  • YouTube — youtube/search (videos/channels by keyword) then youtube/channels/{channel_id} (subs/views to qualify the channel).
  • Instagram — 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.

Workflow

  1. Lock the brief — required. (Read .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.
  2. Discover per platform. Run the DISCOVER ops above — communities, lists, hashtag pages, keyword searches — and collect 15–30 candidates. Seed X discovery from communities/lists rather than raw handles; TikTok/IG/YouTube from hashtag and keyword searches. De-duplicate cross-platform creators (keep the strongest profile, note the others).
  3. Profile each candidate. Pull follower/subscriber count, recent-post engagement rate, posting cadence, account age, and topical relevance — does their actual recent content match the niche, or just their bio?
  4. Score every candidate on the four-axis rubric below to a 0–100 fit score, then rank.
  5. Apply gates (safety, budget, evidence) — they override raw score.
  6. Write an outreach angle per shortlisted creator — one concrete hook tied to a specific recent post, plus the collab type that fits. The operator sends it.
  7. Stop at the shortlist unless the user asks for full campaign ops. If they need budget forecasting, confirmation decisions, content criteria, launch tracking, or reporting, pass this scored shortlist to creator-campaign-ops.
Show full SKILL.md (463 more words)Show less
Fit-scoring rubric (0–100, 4 axes)
AxisWeightWhat earns pointsSignals
Niche relevance30Recent content squarely on-topic for the productTopical overlap of recent posts; bio/links; not just keyword in bio
Audience fit30Commenters/followers look like the target customerWho engages; verified/real follower share; audience language
Recent momentum25Reach and cadence trending up, not staleRecent-post reach vs. older; posting frequency; no dormancy
Platform fit15The platform suits the campaign goal and creator's strengthFormat 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:

  • Hard gate — brand-safety: any disqualifying risk (NSFW/controversial for the brand, direct-competitor sponsorship, hostile pattern, protected/private) caps the score at ≤40 and routes to skip regardless of reach. Deep-vet a borderline candidate with audience-fit-check.
  • Budget gate: estimate a cost band; one clearly outside budget moves to "not now" even at high fit (a mid-tier creator inside budget usually beats an out-of-reach megacreator).
  • Evidence gate: if the sample is too thin/stale/protected to score an axis, mark it low-confidence and cap overall confidence — don't pad the score.

Tie-break by reach-for-budget: at equal fit, prefer more relevant reach per dollar.

Fit scoreTierAction
75–100AShortlist, lead with these
55–74BShortlist if budget allows
40–54CBackup / niche-specific only
<40—Skip (with reason)

Output: ranked creator shortlist

markdown
# 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.

Scoring / Method

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.

Guardrails

  • Read-only ("eyes, not hands"). Builds and ranks the list only; never follows, DMs, or messages creators. The operator runs all outreach.
  • Fit scores are a starting point, not a verdict. A defensible prioritization, not a performance guarantee.
  • Confirmed vs. inferred. Label follower/engagement read off the profile vs. fit deduced from content.
  • Be honest about thin evidence. Private/protected accounts, too-few recent posts, or suspected inflated followings lower confidence — say so and cap the score, don't pad the list.
  • The brand-safety gate is non-negotiable. A safety flag caps the score and sends the creator to skip regardless of reach.
  • creator-campaign-ops (Influencer Marketing): use after shortlist when the user asks for budget forecasting, confirmation decisions, content criteria, launch tracking, or reporting.
  • audience-fit-check (Influencer Marketing): deep-dive a single shortlisted creator's audience fit and brand-safety before committing budget.
  • kol-pricing (Influencer Marketing): price the shortlisted X/Twitter creators with the deterministic pricing framework.
  • unifapi: the shared data skill — connect MCP and discover the discovery/profile operations this skill reads.

© 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

Files

SKILL.md and 1 other file in skills/influencer-marketing-agent/creator-shortlist of unifapi-agent/agents.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit fb53247

Compare with similar skills

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.

Creator Shortlist compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Creator Shortlist this skillunifapi-agent/agents589—~2.3kAutomated safety check: PassMIT
Influencer Discoverytigerless-labs/influencer-discovery212—~2.5kAutomated safety check: NotesNone
AI Social Media ContentNeverSight/learn-skills.dev2161 repos~1.8kAutomated safety check: PassNone
Business Contact and Social Links Finderbrowser-act/skills6.1k1 repos~1.6kAutomated safety check: PassMIT
Higgsfield Content FactoryDaanKieft/ai-influencer116—~15kAutomated safety check: PassNone
Transcript IntelligenceScrapeCreators/social-media-research-skills3.4k—~943Automated safety check: NotesMIT

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Categories

Questions about Creator Shortlist

What does Creator Shortlist do?

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.

When should I use Creator Shortlist?

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.

How do I install Creator Shortlist in Claude Code?

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.

How do I install Creator Shortlist in Codex?

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.

Can I use Creator Shortlist in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Creator Shortlist need to run?

SKILL.md names no scripts, command-line tools or credentials: Creator Shortlist is instructions for the agent only.

Does Creator Shortlist access the network?

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.

Is Creator Shortlist safe to install?

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.

What licence does Creator Shortlist use?

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.

How many tokens does Creator Shortlist use?

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.

What are the alternatives to Creator Shortlist?

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.

Who maintains Creator Shortlist?

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.