tiktok-ad-research
Research TikTok Creative Center or ad-library style datasets for winning ad patterns, regions, objectives, hook language, and creative signals without mixing paid ads with organic creator discovery.
- Installs
- 499
- Last 24h
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- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/postplusai/postplus-skills --skill tiktok-ad-research- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads tiktok-ad-research automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
TikTok Ad Research
Use this skill for paid TikTok ad intelligence, not organic creator or content discovery.
Apply shared rulebook and user-guidance rules from postplus-shared.
Task Shapes
Use this skill when the user wants to:
- find paid TikTok ad creatives that are performing well,
- inspect top ads for a category, country, region, language, or objective,
- study competitor paid hooks, selling points, and CTAs,
- turn ad examples into ad briefs or creative implications.
Do not use this skill for creator discovery, community comments research, organic content lane mapping, or TikTok music workflows.
Collection Key Routing
Route paid-ad collection to the released hosted collection key for top paid ad
examples and optional ad-level metrics. Discover the exact released collection
key and request shape with postplus research schema --json, then pass the
request body to postplus research collect <collectionKey> --request <input.json>.
Default Workflow
- Classify the request into a paid-ad task shape.
- Build a narrow first-pass request for the category, region, objective, or competitor scope.
- Write the request to a request file and run
postplus research collect <collectionKey> --request <input.json>. - Normalize the result into observed ad facts.
- Separate observed ad facts from inferred creative implications.
postplus research collect tiktok-ads-top --request request.json --output result.json
Keep raw datasets and intermediate files under .postplus/tiktok-ads/; keep
final shortlists, summaries, or briefs where the user can inspect them.
Good Output
Return top brands or advertisers, dominant objectives, repeated hook and offer language, CTA patterns, region or language scope, duration distribution, and which metrics were actually present in the sample.
Failure Modes
- Stop if the request is organic creator/content research; route to
tiktok-researchinstead. - Stop on missing required input, unsupported key, missing auth, unavailable hosted service, or stable network failure.
- Do not invent fallback execution paths, private backend calls, or web-search replacements for paid ad collection.
Handoff
- Organic TikTok benchmark comparison ->
tiktok-research. - Ad creative review after humans inspect outputs ->
creative-qa. - Shot-level or spoken-line breakdown ->
video-analysis.
Public Command Boundary
- Choose the smallest matching command or workflow from the user input and run it directly.
- Readiness diagnostics:
postplus doctor --skill tiktok-ad-research. - If an owned CLI or script command fails, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.
- Use
postplus research schema --collection-key <collectionKey> --jsononly when constructing or repairing an unknown request shape. - Hosted collection:
postplus research collect <collectionKey> --request <input.json> --output <result.json>(input = the collection parameters). - Resume a pending collection:
postplus research collect --run-handle <runHandle> --output <result.json>. - Keep the first pass bounded; expand only after inspecting the first result.
- If the CLI returns a quote-confirmation challenge, run
postplus quote confirm --json --challenge-file <challenge.json>and retry with the returned token.
FAQ
What does the tiktok-ad-research skill do?
Research TikTok Creative Center or ad-library style datasets for winning ad patterns, regions, objectives, hook language, and creative signals without mixing paid ads with organic creator discovery.
How do I install tiktok-ad-research?
Run npx skills add https://github.com/postplusai/postplus-skills --skill tiktok-ad-research in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/tiktok-ad-research/ (personal) or .claude/skills/tiktok-ad-research/ (project).
Which AI agents can use tiktok-ad-research?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is tiktok-ad-research safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains tiktok-ad-research?
It is published by postplusai in postplusai/postplus-skills. It has 499 recorded installs.
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