Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
日本語の概要は準備中です。原文の説明を表示しています。
Scrape leads from multiple platforms using Apify Actors.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Scrape leads from multiple platforms using Apify Actors.
(No need to check it upfront)
.env file with APIFY_TOKEN--env-file support)mcpc CLI tool: npm install -g @apify/mcpcCopy this checklist and track progress:
Task Progress:
- [ ] Step 1: Determine lead source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the lead finder script
- [ ] Step 5: Summarize results
Select the appropriate Actor based on user needs:
| User Need | Actor ID | Best For |
|---|---|---|
| Local businesses | compass/crawler-google-places | Restaurants, gyms, shops |
| Contact enrichment | vdrmota/contact-info-scraper | Emails, phones from URLs |
| Instagram profiles | apify/instagram-profile-scraper | Influencer discovery |
| Instagram posts/comments | apify/instagram-scraper | Posts, comments, hashtags, places |
| Instagram search | apify/instagram-search-scraper | Places, users, hashtags discovery |
| TikTok videos/hashtags | clockworks/tiktok-scraper | Comprehensive TikTok data extraction |
| TikTok hashtags/profiles | clockworks/free-tiktok-scraper | Free TikTok data extractor |
| TikTok user search | clockworks/tiktok-user-search-scraper | Find users by keywords |
| TikTok profiles | clockworks/tiktok-profile-scraper | Creator outreach |
| TikTok followers/following | clockworks/tiktok-followers-scraper | Audience analysis, segmentation |
| Facebook pages | apify/facebook-pages-scraper | Business contacts |
| Facebook page contacts | apify/facebook-page-contact-information | Extract emails, phones, addresses |
| Facebook groups | apify/facebook-groups-scraper | Buying intent signals |
| Facebook events | apify/facebook-events-scraper | Event networking, partnerships |
| Google Search | apify/google-search-scraper | Broad lead discovery |
| YouTube channels | streamers/youtube-scraper | Creator partnerships |
| Google Maps emails | poidata/google-maps-email-extractor | Direct email extraction |
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., compass/crawler-google-places).
This returns:
Before running, ask:
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
After completion, report:
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
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
日本語の概要は準備中です。原文の説明を表示しています。
Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
日本語の概要は準備中です。原文の説明を表示しています。
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
日本語の概要は準備中です。原文の説明を表示しています。
Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
日本語の概要は準備中です。原文の説明を表示しています。
agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
日本語の概要は準備中です。原文の説明を表示しています。