About instagram-research
instagram-research is a skill for public Instagram research in support of marketing decisions. It serves users investigating accounts, organic content, audience language, creators, or campaigns, with routes tailored to each evidence need.
Key features
- 01Audit account profiles and posts
- 02Benchmark organic content examples
- 03Research comments and audience language
- 04Discover creators and public contact signals
- 05Scout campaigns and hashtag content
Use cases
- 01Assess competitor accounts and content
- 02Identify objections and FAQs in comments
- 03Find creators and public contact signals
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ postplusai/ postplus-skills --skill instagram-researchAfter installing, type/instagram-researchin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/account-audit.mdaudience-voice.mdcampaign-scout.mdcreator-discovery.mdorganic-benchmark.mdshared-contract.mdDetails
From the project READMEInstagram Research
Research public Instagram evidence for the user's marketing decision. A product, category, problem, competitor, account, or content URL is enough to start. Use the task reference below and shared contract for research completion, reporting, and downstream handoffs.
Reference Index
| User asks for | Apply |
|---|---|
| Known account, handle, profile URL, competitor account | references/account-audit.md |
| Organic examples, hooks, formats, "what works", competitor content | references/organic-benchmark.md |
| Comments, audience voice, objections, FAQ, consumer language | references/audience-voice.md |
| Creators, influencers, KOL/KOC, UGC makers, affiliates, contacts | references/creator-discovery.md |
| Campaign, hashtag, branded UGC sample, watchlist, competitor campaign | references/campaign-scout.md |
| Paid ads, Stories, Shop, LIVE, private data, backend analytics, broad social listening | Stop or ask for a supported public Instagram scope |
| Cross-platform request | Run only the Instagram lane here; hand off other platforms |
Understand the request
Infer the intended decision and useful deliverable from the request. Read an unfamiliar product's official page before deriving brands, use cases, problem phrases, and hashtags. Verify brand/account identity instead of guessing from a name. Do not ask the user to supply competitor lists or choose search batches.
Ask one focused question only when missing product identity, subject, market, or a public/private boundary would materially change the work. If the user has provided a usable product/category/account/URL, start; do not ask for another seed or an output-format choice. Preserve all platforms the user requested.
Keep explicit requirements, inferred search directions, and unknown conditions separate. Inferred directions are not hidden exclusion rules. Unsupported private metrics remain unknown; use the available public evidence only when it can still answer the requested decision.
Public Command Boundary
Run the selected route with its declared semantic flags:
postplus research run <route> --<semantic flags> --limit <n> --wait --output result.json
| Evidence need | Route | Inputs |
|---|---|---|
| Profile facts | instagram-profiles | repeat --handle |
| Account posts or known posts | instagram-posts | repeat --handle or repeat --url, never both |
| Topic or hashtag content | instagram-hashtags | repeat --query or repeat --hashtag, never both; --kind posts|reels |
| Account/tag discovery | instagram-search | repeat --query; --kind user|hashtag|popular |
| Actual comments | instagram-comments | repeat --url; --include-replies when needed |
| Public contact signals | instagram-email-search | repeat --handle, only shortlisted creators |
Use postplus research run <route> --help when flags, enums, or bounds are
unclear; inspect postplus research schema --route <route> --json only when
processing needs exact result fields. postplus doctor --skill instagram-research
is a diagnostic, not a compulsory preflight. Never use private supplier inputs.
Save independent batches separately; run them concurrently only after their
inputs are known. Follow the returned structured action for pending/failed
operations; resume the same operation, not a replacement submission.
postplus research run instagram-comments \
--url "https://example.com/source" \
--wait \
--output ./result.json
Follow the CLI's structured result and reported next action; do not infer recovery from free-text messages. Reuse explicit user approval that already covers the requested scope and maximum cost; otherwise obtain approval before confirming a quote. Never infer spending authorization from a task alone. Resume the same operation through its returned checkpoint or action; never resubmit uncertain work, repeat exhausted recovery, or switch providers to bypass failure.