
Tiktok Research
- 710 installs
- 19 repo stars
- Updated July 27, 2026
- postplusai/postplus-skills
tiktok-research is a PostPlus skill that runs bounded organic TikTok research on hashtags, creators, comments, trends, and benchmarks for developers and marketers who need platform data before scaling content.
About
tiktok-research is a PostPlus skill in the TikTok family that performs bounded organic research across keywords, hashtags, competitor and creator profiles, comment sampling, trend discovery, and benchmark summaries. It applies shared rulebook guidance from postplus-shared and produces dataset summaries developers can feed into content pipelines, persona docs, or competitive briefs. Use tiktok-research when you need TikTok metadata and audience signals without paid ad intelligence or local audio extraction. Route paid ad questions to tiktok-ad-research and sound-download tasks elsewhere. The skill keeps research scoped so teams validate organic opportunities before committing creative or spend.
- Organic TikTok research: keywords, hashtags, profiles, music URLs, and creator discovery via hosted collection keys
- Cost discipline: 3–5 queries or 2–4 seed hashtags, 5–12 results each, serial passes before expanding
- Explicit routing away from paid ad research and music archive downloader skills
- PostPlus shared rulebook alignment for user guidance and family TikTok metadata
- Defers comments, downloads, subtitles, and follower expansion unless the step truly needs them
Tiktok Research by the numbers
- 710 all-time installs (skills.sh)
- +43 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #650 of 1,879 Marketing & SEO skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 710 |
|---|---|
| repo stars | ★ 19 |
| Security audit | 2 / 3 scanners passed |
| Last updated | July 27, 2026 |
| Repository | postplusai/postplus-skills ↗ |
How do you research TikTok trends and creators organically?
Run bounded organic TikTok research—hashtags, creators, comments, trends, and benchmarks—before scaling content or ad spend.
Who is it for?
Developers building content tools or growth workflows who need structured TikTok organic research before writing scripts, APIs, or editorial calendars.
Skip if: Skip tiktok-research when the goal is paid TikTok ad intelligence, local sound downloads, or audio extraction from selected tracks.
When should I use this skill?
The user asks for TikTok hashtag research, creator sampling, comment analysis, or organic trend benchmarks.
What you get
Hashtag samples, creator profiles, comment extracts, trend lists, benchmark tables, and dataset summaries.
- hashtag samples
- creator profile datasets
- trend benchmark summaries
Files
TikTok Research Skill
Use this skill for organic TikTok platform research: keyword and hashtag sampling, competitor or creator sampling, profile enrichment, comments, trend and benchmark discovery, and dataset summaries.
Apply shared rulebook and user-guidance rules from postplus-shared.
Do Not Use When
- The user wants paid ad intelligence. Route to
tiktok-ad-research. - The user has already selected sounds and needs local downloads or audio
extraction. Route to tiktok-music-archive-downloader.
- The user asks for external articles, policy, or news rather than TikTok
platform data.
- The request requires unsupported shop creator analytics.
Cost Discipline
Keep the first pass bounded:
- 3-5 strongest queries or 2-4 seed hashtags.
- 5-12 results per hashtag or query.
- Treat
limitas the target shortlist or candidate goal, not as a per-query
scrape size.
- Do not collect comments, related videos, downloads, subtitles, or follower
expansion in the first pass unless the current step truly needs them.
- Run serially; inspect and refine before expanding.
Collection Key Routing
Route to the matching hosted collection key by task shape:
- keyword, hashtag, profile URL, music URL, direct video, and content-first
creator discovery,
- keyword account-search supplement,
- profile enrichment from known handles,
- graph expansion from shortlisted video URLs,
- focused comment collection.
Discover the exact released collection keys and request shapes with postplus research schema --json. Pass the request body to postplus research collect <collectionKey> --request <input.json>.
Creator Discovery Rule
For creator discovery with follower-band, recent-activity, local-language, geo-fit, or content-fit constraints, do not default to plain account search.
Prefer:
1. collect matched videos with tiktok-videos, 2. extract authors from .items[].authorUsername, 3. expand around strong seed videos if recall is weak, 4. enrich profiles with tiktok-profiles, 5. rank with profile plus content evidence.
Use tiktok-users only as an account-search supplement unless the user explicitly asks for account-search recall.
Default Workflow
1. Choose the route first: content-first, handle-first, graph-first, or mixed. 2. Keep the first hosted collection narrow when the brief is simple. 3. Write the compiled collection input to a request file and run postplus research collect <collectionKey> --request <input.json>. 4. Enrich profiles only after the content or account dataset exists. 5. Expand around strong seed videos only after a promising shortlist exists. 6. Summarize source surface, source query, strongest openings, repeated formats, creators, hashtags, and missing evidence.
<!-- BEGIN GENERATED EXECUTION EXAMPLE -->
postplus research collect tiktok-comments --request request.json --output result.json<!-- END GENERATED EXECUTION EXAMPLE -->
Keep raw datasets and intermediate files under .postplus/; keep final reports or shortlist exports outside .postplus/ when the user needs them.
Failure Modes
- Do not answer TikTok collection tasks with generic web search.
- Do not use paid ad data as organic creator or content evidence.
- Do not route profile enrichment through unpublished keys or implementation
names.
- Stop on missing auth, unavailable PostPlus Cloud service, stable network
failure, malformed collection output, or unsupported collection keys.
Handoff
- Creator shortlist or public contact signals ->
creator-outreach. - Instagram creator discovery ->
instagram-creator-discovery. - Paid ad hooks or objectives ->
tiktok-ad-research. - Local benchmark video files or audio references ->
tiktok-music-archive-downloader. - Hook, structure, shot, 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-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.
Related skills
How it compares
Choose tiktok-research over tiktok-ad-research when you need organic hashtag, creator, and comment intelligence rather than paid campaign metrics.
FAQ
What does tiktok-research cover?
tiktok-research handles organic TikTok platform research: keyword and hashtag sampling, competitor or creator profile enrichment, comment extraction, trend discovery, and benchmark summaries. Output is structured dataset summaries for downstream content or analytics work.
When should you not use tiktok-research?
tiktok-research is for organic platform analysis only. Route paid TikTok ad intelligence to tiktok-ad-research, and route local sound downloads or audio extraction to the appropriate media skill once sounds are already selected.
Is Tiktok Research safe to install?
skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.