本文へ移動
cccskills
無料GitHub で公開

claude-ecosystem-promoter

Marketing and promotion specialist for Claude ecosystem technology - MCP servers, skills, plugins, and agents. Expert in community engagement, registry submissions, content marketing, and developer relations. Activate on 'promote MCP', 'share skill', 'market plugin', 'launch agent', 'developer marketing', 'MCP registry'. NOT for creating MCPs/skills (use agent-creator), general marketing (use content-marketer), or SEO optimization (use seo-visibility-expert).

インストール方法を見る

含まれるファイル(6)

  • SKILL.md7.5 KB
  • references/community-directory.md7.1 KB
  • references/INDEX.md556 B
  • references/post-templates.md8.1 KB
  • references/registry-submission-guides.md5.7 KB
  • references/timing-calendar.md8.5 KB

SKILL.md(原文)

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。

Claude Ecosystem Promoter

Marketing specialist for Claude ecosystem technology. Transform your MCP servers, skills, plugins, and agents from hidden gems into widely-adopted tools.

Decision Points

Channel Priority Matrix

Given: (Budget: low/med/high, Target: devs/business/general, Urgency: days/weeks/months)

IF Budget=low AND Target=devs:
  → Official MCP Registry + r/ClaudeAI + GitHub awesome lists
  
IF Budget=low AND Target=business:
  → LinkedIn + dev.to professional posts + Discord communities
  
IF Budget=med AND Target=devs:
  → Add: Smithery.ai + YouTube demos + Twitter threads
  
IF Budget=med AND Target=business:
  → Add: Medium articles + newsletter outreach + HackerNews
  
IF Budget=high:
  → Full multi-channel: All above + influencer outreach + paid communities

IF Urgency=days:
  → Reddit + Twitter + Discord (immediate reach)
  
IF Urgency=weeks:
  → Add: Registry submissions + dev.to articles
  
IF Urgency=months:
  → Add: SEO content + awesome list building + newsletter campaigns

Content Format Decision Tree

IF Tool complexity = simple:
  → GIF demo + 2-minute video + Twitter thread
  
IF Tool complexity = moderate:
  → 5-minute tutorial + dev.to walkthrough + Reddit showcase
  
IF Tool complexity = advanced:
  → YouTube deep-dive + documentation site + multi-part series

IF Audience = technical:
  → Code samples + GitHub integration + technical blogs
  
IF Audience = business:
  → ROI examples + case studies + professional platforms

IF Tool type = MCP server:
  → Installation demo + Claude config examples + registry submissions
  
IF Tool type = skill:
  → Usage examples + workflow integration + skills directory

Failure Modes

Anti-Pattern 1: Ghost Launch

Symptoms: Tool gets 5-10 stars, no community engagement, forgotten in weeks Diagnosis: Posted once to one channel, never followed up Fix:

  • Create 30-day engagement calendar
  • Respond to every comment within 4 hours for first week
  • Post weekly updates with new features/user feedback

Anti-Pattern 2: Spam Bomber

Symptoms: Downvoted posts, community backlash, banned from subreddits Diagnosis: Same promotional content posted to 10+ places simultaneously Fix:

  • Customize each post for platform audience
  • Follow 10:1 rule (10 helpful contributions per 1 promotion)
  • Space posts 24-48 hours apart

Anti-Pattern 3: Documentation Neglect

Symptoms: GitHub issues asking "how to install?", high bounce rate from repos Diagnosis: README lacks clear installation, no demo video, poor examples Fix:

  • Create 30-second installation GIF
  • Add "Quick Start" section with copy-paste commands
  • Include real-world use case in README

Anti-Pattern 4: Registry Submission Failure

Symptoms: Tool not discoverable in MCP clients, low adoption despite quality Diagnosis: Never submitted to official registries, only posted on social media Fix:

  • Submit to Official MCP Registry first (before any promotion)
  • List on Smithery, Glama, PulseMCP within 48 hours
  • Track registry acceptance status weekly

Anti-Pattern 5: Timing Catastrophe

Symptoms: Reddit post gets 3 upvotes, tweet gets 2 likes, no traction Diagnosis: Posted Friday evening or during major tech events Fix:

  • Post Tuesday-Thursday, 2-5pm UTC
  • Avoid: Black Friday, major Apple/Google events, holidays
  • Use scheduling tools for optimal timing

Worked Examples

Example 1: MCP Server Launch - "Notion Integration"

Scenario: Developer built MCP server connecting Claude to Notion API

Day -7 Pre-Launch:

  • Audit checklist: README unclear on auth setup → rewrote with step-by-step screenshots
  • Created 90-second demo video showing: install → configure → query Notion database
  • Generated social preview image with before/after workflow

Launch Day Decision Points:

  • Budget=low, Target=developers, Urgency=weeks → Official Registry + r/ClaudeAI + Twitter
  • Tool complexity=moderate → 5-minute tutorial + dev.to walkthrough

Execution:

  1. Morning: Submitted to MCP Registry (PR #247)
  2. Afternoon: Posted to r/ClaudeAI with [Showcase] tag
  3. Evening: Twitter thread with demo GIF

Results Week 1: 127 GitHub stars, 45 Reddit upvotes, 2.3K tweet views, featured in PulseMCP newsletter

Expert vs Novice:

  • Novice missed: Posted to r/programming first (wrong audience), no demo video, linked to raw GitHub
  • Expert caught: Led with problem statement, showed working integration, engaged in comments

Example 2: Claude Skill Launch - "Email Automation"

Scenario: Business user created Claude skill for automated email responses

Decision Process:

  • Budget=medium, Target=business users, Urgency=months → LinkedIn + Medium + professional networks
  • Audience=business → ROI examples + case studies needed

Content Strategy:

  • LinkedIn: "How I saved 2 hours daily with this Claude skill" (professional outcome)
  • Medium: "Building Email Automation with Claude: A Non-Developer's Journey" (accessibility)
  • Reddit: Technical implementation details for r/ClaudeAI

Results: 45 LinkedIn shares, Medium article featured in AI newsletter, 2 enterprise inquiries

Quality Gates

Launch Readiness Checklist:

  • README.md has clear problem statement in first paragraph
  • One-line installation command works on clean system
  • Demo video under 3 minutes shows real use case
  • GitHub repo has MIT/Apache license file
  • At least 3 example configurations provided
  • Social media preview image (1200x630px) created
  • Primary registry submission completed (MCP Registry or Skills repo)
  • Response plan ready for first 24-48 hours of feedback
  • Contact information clearly visible for follow-up
  • Roadmap with next 3 planned features documented

NOT-FOR Boundaries

Do NOT use this skill for:

  • Creating MCP servers, skills, or agents → Use agent-creator instead
  • General marketing strategies → Use content-marketer instead
  • SEO optimization and keyword research → Use seo-visibility-expert instead
  • Writing documentation → Use technical-writer instead
  • Community management beyond launch → Use dedicated community management tools
  • Paid advertising campaigns → Use performance marketing specialists
  • PR outreach to major publications → Use PR professionals
  • Legal compliance for marketing → Use legal advisors

Delegate when:

  • Tool needs technical improvements before launch → Return to development
  • Marketing budget exceeds $5K → Engage professional marketing agency
  • Press coverage needed from major outlets → Use PR firm
  • International market expansion → Use localization specialists

レビュー

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。

同じリポジトリのスキル

概要と使いどころ

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

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。

curiositech/port-daddy22026年10月12日 更新

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

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。

curiositech/port-daddy22026年10月12日 更新

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

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。

curiositech/port-daddy22026年10月12日 更新

Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

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。

curiositech/port-daddy22026年10月12日 更新

Use for insight, reframing, contradiction, impasse, and anomaly-driven problem solving when execution effort no longer helps. NOT for routine optimization, error correction, or well-specified tasks with known solution paths.

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。

curiositech/port-daddy22026年10月12日 更新

Apply cognitive task analysis to expert work that depends on perceptual cues, branching judgment, and recurring monitoring loops. Use when decomposing expert capability into agent structure, simulation design, or validation interviews. NOT for ordinary step-by-step SOP capture or simple pipelines with no tacit cue layer.

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。

curiositech/port-daddy22026年10月12日 更新

curiositech のスキルをすべて見る

このスキルの問題を報告する