A

Skill 详情

apify-influencer-discovery

Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.

来源平台:GitHub
来源标识:sickn33/antigravity-awesome-skills
源文件:原始说明
前端设计 超热门 GitHub 中 风险 下载 1.88万Stars 3.68万 GitHub Copilot
来源平台GitHub
文档版本SKILL.md
热度超热门
排名信号下载 1.88万
概述 安装 文档 下载

快速判断

Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.

最后校验2026-05-27
来源平台GitHub
安全提示
下载副本ZIP 可用

适合任务

  • 把重复任务整理成可复用的 AI 操作流程。
  • 让 AI 在特定场景下按统一规范执行。
  • 为团队或个人工作流提供可复制的任务说明。

输入与输出

输入:任务目标、上下文材料、文件路径、约束条件或需要处理的内容。

输出:按 Skill 说明生成的文档、代码、检查结果、计划、建议或操作步骤。

示例任务

  • 使用 apify-influencer-discovery 帮我处理当前任务,并说明执行前需要确认的输入。
  • 根据 apify-influencer-discovery 的说明,给我一个安全的使用步骤清单。

安装方式

  1. 下载本站提供的 Skill ZIP 并解压。
  2. 把解压后的 Skill 目录放入当前 AI 工具支持的 skills 目录。
  3. 如需在线查看原始内容,可打开 GitHub 的 SKILL.md

在线原始地址:apify-influencer-discovery/SKILL.md

风险边界

使用前请检查权限、外部依赖和要处理的数据类型。不要把密码、密钥、身份信息或敏感客户资料交给未经确认的 Skill。

SKILL.md 文档介绍

Influencer Discovery

Discover and analyze influencers across multiple platforms using Apify Actors.

When to Use

  • You need to discover creators or influencers for outreach, partnerships, or campaign planning.
  • The task is to evaluate authenticity, engagement, niche fit, or audience signals across social platforms.
  • You need Apify-based extraction plus a shortlist or summary of suitable influencer candidates.

Prerequisites

(No need to check it upfront)

  • .env file with APIFY_TOKEN
  • Node.js 20.6+ (for native --env-file support)
  • mcpc CLI tool: npm install -g @apify/mcpc

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Determine discovery source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the discovery script
- [ ] Step 5: Summarize results

Step 1: Determine Discovery Source

Select the appropriate Actor based on user needs:

| User Need | Actor ID | Best For |

|-----------|----------|----------|

| Influencer profiles | apify/instagram-profile-scraper | Profile metrics, bio, follower counts |

| Find by hashtag | apify/instagram-hashtag-scraper | Discover influencers using specific hashtags |

| Reel engagement | apify/instagram-reel-scraper | Analyze reel performance and engagement |

| Discovery by niche | apify/instagram-search-scraper | Search for influencers by keyword/niche |

| Brand mentions | apify/instagram-tagged-scraper | Track who tags brands/products |

| Comprehensive data | apify/instagram-scraper | Full profile, posts, comments analysis |

| API-based discovery | apify/instagram-api-scraper | Fast API-based data extraction |

| Engagement analysis | apify/export-instagram-comments-posts | Export comments for sentiment analysis |

| Facebook content | apify/facebook-posts-scraper | Analyze Facebook post performance |

| Micro-influencers | apify/facebook-groups-scraper | Find influencers in niche groups |

| Influential pages | apify/facebook-search-scraper | Search for influential pages |

| YouTube creators | streamers/youtube-channel-scraper | Channel metrics and subscriber data |

| TikTok influencers | clockworks/tiktok-scraper | Comprehensive TikTok data extraction |

| TikTok (free) | clockworks/free-tiktok-scraper | Free TikTok data extractor |

| Live streamers | clockworks/tiktok-live-scraper | Discover live streaming influencers |

Step 2: Fetch Actor Schema

Fetch the Actor's input schema and details dynamically using mcpc:

export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"

Replace ACTOR_ID with the selected Actor (e.g., apify/instagram-profile-scraper).

This returns:

  • Actor description and README
  • Required and optional input parameters
  • Output fields (if available)

Step 3: Ask User Preferences

Before running, ask:

1. Output format:

  • Quick answer - Display top few results in chat (no file saved)
  • CSV - Full export with all fields
  • JSON - Full export in JSON format

2. Number of results: Based on character of use case

Step 4: Run the Script

Quick answer (display in chat, no file):

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT'

CSV:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.csv \
  --format csv

JSON:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT' \
  --output YYYY-MM-DD_OUTPUT_FILE.json \
  --format json

Step 5: Summarize Results

After completion, report:

  • Number of influencers found
  • File location and name
  • Key metrics available (followers, engagement rate, etc.)
  • Suggested next steps (filtering, outreach, deeper analysis)

Error Handling

APIFY_TOKEN not found - Ask user to create .env with APIFY_TOKEN=your_token

mcpc not found - Ask user to install npm install -g @apify/mcpc

Actor not found - Check Actor ID spelling

Run FAILED - Ask user to check Apify console link in error output

Timeout - Reduce input size or increase --timeout

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
建议反馈