MCPInstall

instagram-tools

by postplusaiMarketing & SEO

Hosted collection support guidance for Instagram workflows, including dataset normalization, ranking, comment clustering, and watchlist construction.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/postplusai/postplus-skills --skill instagram-tools
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads instagram-tools automatically when relevant.

  3. 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.

Instagram Tools

Use When

  • Support skill for Instagram collection, normalization, extraction, and ranking guidance.

Do Not Use When

  • The task belongs to ideation, QA, or another released skill listed in the handoff section.
  • Required inputs are missing and guessing would change the result.

Required Input

  • Hosted envelope or local normalized Instagram dataset depending on workflow.

Support Methodology

This support runs in-context against a collected Instagram dataset; there is no installed script. Keep every step provider-agnostic.

  • Normalize: map each collection actor's raw fields into one comparable shape — username, followers, likes, comments, caption, hashtags, publishedAt. Treat a missing or negative engagement value as 0 so ranking stays monotonic.
  • Rank: score accounts and creators on durable, transferable signals — engagement rate, recent posting cadence, verified status, and contact signals (email, website) that enable outreach. When the goal is individual-creator discovery, downweight brand and product accounts so personal creators surface first. Return both the full research pool and a shortlist instead of a single hardcoded cutoff.
  • Cluster comments: before bucketing, drop low-signal noise such as very short comments and pure reactions (lol, omg, wow). Group the rest into reusable audience-language buckets — praise, objection, question, purchase-intent, feature-request.
  • Watchlist: maintain monitoring sets keyed by username, hashtag, or tagged mention for repeat collection runs.

Which sibling skill draws on which support:

  • instagram-account-research, instagram-audience-voice, and instagram-campaign-scout use collection and normalization support.
  • instagram-content-benchmark uses post ranking and benchmark support.
  • instagram-creator-discovery uses creator extraction and ranking support.

Stop Conditions

  • Stop when required user intent, source evidence, or owned input artifacts are missing and guessing would change the result.
  • 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.

Handoff

  • Return structured output to the calling Instagram skill.

Collection Run

Discover the exact released collection keys and request shapes with postplus research schema --json. Write the compiled collection input to a request file and run postplus research collect <collectionKey> --request <input.json>.

<!-- BEGIN GENERATED EXECUTION EXAMPLE --> 
postplus research collect instagram-comments --request request.json --output result.json
<!-- END GENERATED EXECUTION EXAMPLE -->

Public Command Boundary

  • Choose the smallest matching command or workflow from the user input and run it directly.
  • Readiness diagnostics: postplus doctor --skill instagram-tools.
  • 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> --json only 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 instagram-tools skill do?

Hosted collection support guidance for Instagram workflows, including dataset normalization, ranking, comment clustering, and watchlist construction.

How do I install instagram-tools?

Run npx skills add https://github.com/postplusai/postplus-skills --skill instagram-tools 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/instagram-tools/ (personal) or .claude/skills/instagram-tools/ (project).

Which AI agents can use instagram-tools?

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 instagram-tools 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 instagram-tools?

It is published by postplusai in postplusai/postplus-skills. It has 605 recorded installs.

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