Claude/recruitin growth engine drigm #341
Closed
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Self-learning recruitment marketing engine with three interconnected loops: - Campaign Strategy: generates LinkedIn authority content and Meta Ads performance campaigns with visual prompt specifications - Data Memory: Supabase-backed storage of weekly metrics (CTR, CPC, CPA, CPH, quality score) with complete SQL schema - Continuous Optimization: queries historical data to determine winning strategies using weighted scoring and exploration/exploitation balance Includes 3 agents (campaign-planner, data-analyst, optimization-engine), 3 commands (/recruitin-campaign, /recruitin-report, /recruitin-optimize), 3 skills with reference docs, and a quality check hook. https://claude.ai/code/session_01JvwSpwtxb1a643BXMMLovU
- Complete project instructions for claude.ai Cowork with tone-of-voice rules, content templates, KPI targets, weekly routine, and all three operational loops documented - Step-by-step Supabase setup guide with seed data for Recruitin as first client including brand voice and initial authority campaign https://claude.ai/code/session_01JvwSpwtxb1a643BXMMLovU
Adds 4 new reference files from Recruitin's existing repositories: - market-intelligence-integration: 3 scraper configs (market trends, ICP monitor, concurrent tracker), Google Sheets dashboard mapping, and new market_intelligence Supabase table - icp-scoring-model: 7-criteria weighted scoring model (28.5 max) with A/B/C classification for prospect qualification - content-styles-notion: 4 proven LinkedIn post styles (contrarian, data_story, how_to, behind_scenes) with full templates and examples from the Notion content manager - competitor-intelligence: 8 tracked competitors with threat scoring formulas and content gap analysis strategy Updates campaign-strategy SKILL.md to reference intelligence data, extends Supabase schema with market_intelligence and icp_scores tables, and enriches Cowork project instructions with content styles and intelligence-hub integration guidance. https://claude.ai/code/session_01JvwSpwtxb1a643BXMMLovU
Interactive bash script that: - Prompts for Supabase URL and service role key - Generates schema SQL (8 tables + materialized view + indexes) - Generates seed data SQL (Recruitin client, brand voice, campaign, market intelligence samples, ICP scores) - Executes via psql if available, otherwise provides SQL Editor instructions and npx supabase CLI alternative - Saves credentials to .env (gitignored) https://claude.ai/code/session_01JvwSpwtxb1a643BXMMLovU
Single file with all schema + seed data for copy-paste into the Supabase SQL Editor. https://claude.ai/code/session_01JvwSpwtxb1a643BXMMLovU
Replaces the overly complex setup-supabase.sh with a clean setup.sh that: - Auto-installs psql via Homebrew (macOS) or apt (Linux) - Connects directly to Supabase database - Runs setup-complete.sql (schema + seed data) - Verifies all tables, views, and seed data - Saves credentials to .env https://claude.ai/code/session_01JvwSpwtxb1a643BXMMLovU
|
Thanks for your interest! This repo only accepts contributions from Anthropic team members. If you'd like to submit a plugin to the marketplace, please submit your plugin here. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.