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instagram-creator-discoveryInstagram 创作者发现

Agent Skill

instagram-creator-discovery 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

570

周安装

24

GitHub Stars

公开资料未说明

下载量

477
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:instagram-creator-discovery(Instagram 创作者发现)
来源仓库:https://github.com/postplusai/postplus-skills
仓库路径:skills/instagram-creator-discovery
安装命令:
npx skills add https://github.com/postplusai/postplus-skills --skill instagram-creator-discovery
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/postplusai/postplus-skills --skill instagram-creator-discovery

简介

instagram-creator-discovery 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。

  • 适用于内容研究、数据调研或信息聚合等需要从多个来源提取线索的任务场景。
  • 通过 npx skills add 命令安装,需确认权限范围和是否触发联网或文件读写操作。
  • 建议结合原始 README 核验具体用法,并检查仓库维护状态与安全性。
  • 使用前应评估是否会执行命令或访问外部资源,避免意外行为。

SKILL.md

Instagram Creator Discovery

Follow shared release-shell rules in:

  • postplus-shared release-shell rules

Use this skill when the user wants to:

  • find Instagram creators or influencers in a niche
  • search under follower-band constraints such as 5k-20k
  • find creators based on what they post, not only on bio keywords
  • build creator pools for outreach or partnership research
  • compare creators surfaced from search, hashtag, tagged, or content evidence

Read these references before implementation:

  • postplus-shared research preferences
  • skills/10-routing/creator-discovery-router/references/candidate-schema.md
  • skills/10-routing/creator-discovery-router/references/instagram-candidate-mapping.md
  • skills/20-research/instagram-references/actor-selection.md
  • skills/20-research/instagram-references/normalized-schema.md
  • skills/20-research/instagram-references/tool-contracts.md

Core Rule

Do not default Instagram creator search to profile lookup only.

If the request cares about:

  • follower bands
  • recent activity
  • topical fit
  • audience fit

prefer content-first or mixed discovery:

  1. collect matching posts / Reels / hashtag results / tagged posts
  2. extract candidate usernames from the matched content
  3. enrich candidate profiles
  4. optionally enrich recent posts for stronger evidence
  5. rank creators by profile + content evidence
  6. return a research pool plus shortlist

Primary Hosted Collection Keys

  • instagram-search
  • instagram-hashtags
  • instagram-profiles
  • instagram-posts

Released enrichment:

  • hosted collection key instagram-email-search

Local Tools

  • skills/20-research/instagram-tools/scripts/build_instagram_actor_input.mjs
  • skills/20-research/instagram-tools/scripts/run_instagram_actor.mjs
  • skills/20-research/instagram-tools/scripts/normalize_instagram_dataset.mjs
  • skills/20-research/instagram-tools/scripts/extract_instagram_candidate_usernames.mjs
  • skills/20-research/instagram-tools/scripts/rank_instagram_creators.mjs

Route Guidance

Use handle-first when:

  • the user already has handles
  • the user has competitor account lists
  • the user wants profile enrichment more than discovery

Use content-first when:

  • the user wants active niche creators
  • the user cares about follower bands
  • the user cares about audience fit from actual content

Use mixed when:

  • you need search or hashtag recall first
  • then need profile enrichment and creator scoring

V1 Workflow

1. Build actor input from a brief

node ${CLAUDE_SKILL_DIR}/../instagram-tools/scripts/build_instagram_actor_input.mjs \
  --brief <work-folder>/.postplus/instagram-brief.json \
  --actor instagram-search \
  --output <work-folder>/.postplus/instagram-search-input.json

2. Run the collection actor

node ${CLAUDE_SKILL_DIR}/../instagram-tools/scripts/run_instagram_actor.mjs \
  --collection-key instagram-search \
  --input <work-folder>/.postplus/instagram-search-input.json \
  --output <work-folder>/.postplus/instagram-search-raw.json

3. Normalize the dataset

node ${CLAUDE_SKILL_DIR}/../instagram-tools/scripts/normalize_instagram_dataset.mjs \
  --input <work-folder>/.postplus/instagram-search-raw.json \
  --actor instagram-search \
  --dataset-type posts \
  --output <work-folder>/.postplus/instagram-search-normalized.json

4. Extract candidate usernames

node ${CLAUDE_SKILL_DIR}/../instagram-tools/scripts/extract_instagram_candidate_usernames.mjs \
  --input <work-folder>/.postplus/instagram-search-normalized.json \
  --route content-first \
  --output <work-folder>/.postplus/instagram-candidate-usernames.json

5. Enrich profiles

node ${CLAUDE_SKILL_DIR}/../instagram-tools/scripts/run_instagram_actor.mjs \
  --collection-key instagram-profiles \
  --input <work-folder>/.postplus/instagram-profile-input.json \
  --output <work-folder>/.postplus/instagram-profiles-raw.json

Then normalize:

node ${CLAUDE_SKILL_DIR}/../instagram-tools/scripts/normalize_instagram_dataset.mjs \
  --input <work-folder>/.postplus/instagram-profiles-raw.json \
  --actor instagram-profiles \
  --dataset-type profiles \
  --output <work-folder>/.postplus/instagram-profiles-normalized.json

6. Rank creators

node ${CLAUDE_SKILL_DIR}/../instagram-tools/scripts/rank_instagram_creators.mjs \
  --profiles <work-folder>/.postplus/instagram-profiles-normalized.json \
  --content <work-folder>/.postplus/instagram-search-normalized.json \
  --candidates <work-folder>/.postplus/instagram-candidate-usernames.json \
  --route content-first \
  --output <work-folder>/.postplus/instagram-creator-ranking.json

Good Output

Return:

  • research_pool
  • shortlist
  • why each top creator was surfaced
  • creator type estimate
  • topical fit
  • audience fit
  • follower band fit
  • public contact signals if available

Handoff

Escalate to instagram-account-research when:

  • the user already has a stable shortlist and wants deeper account snapshots

Escalate to instagram-content-benchmark when:

  • the user wants deeper analysis of the strongest posts or Reels

Escalate to instagram-audience-voice when:

  • the user wants comment-language extraction from the shortlisted content

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.96%
按下载量换算176

Claude

31.79%
按下载量换算152

Cursor

20.03%
按下载量换算96

Gemini CLI

8.4%
按下载量换算40

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/postplusai/postplus-skills --skill instagram-creator-discovery 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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