Following Anthropic skill-creator guidance that Claude undertriggers
skills, make descriptions pushier across all 32 skills:
- Add casual/frustrated user phrases
- Add implicit need triggers where users need the skill but dont name it
- Add catch-all sentences explaining when to use
- Add missing cross-references between related skills
- Ensure consistent format across all descriptions
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The .agents/skills/ directory is the emerging cross-agent standard adopted by
OpenAI Codex, Cursor, Windsurf, and npx skills. All 32 skills now check
.agents/product-marketing-context.md first with .claude/ fallback for older
setups. Install paths in README updated accordingly. Bumps all skills to 1.1.0.
Closes#50
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fix 3 wrong character counts in ad copy examples (all off by +1)
- Fix TikTok ad text: 80 recommended / 100 max (was 100 recommended)
- Fix LinkedIn description: add 300 max (was missing)
- Fix Gemini API model name: gemini-2.5-flash-image (was gemini-2.0-flash-exp)
- Fix Cartesia pricing: $0.03/min (was $0.0085/sec)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Covers ElevenLabs (voice cloning, best quality), OpenAI TTS (cheap at scale),
Cartesia Sonic (40ms latency), PlayHT, Resemble AI, WellSaid Labs, Fish Audio,
and cloud providers. Includes comparison table, decision tree, and voice+video
layering workflow with ffmpeg.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Covers image generation (Nano Banana Pro, Flux, Ideogram), video generation
(Veo, Kling, Runway, Sora, Higgsfield), and code-based video (Remotion).
Includes decision tree, cost comparison for 100+ variations, platform image
specs, and recommended hybrid workflow for scaled ad production.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Inspired by Anthropic growth marketing team workflows. Covers generating
headlines, descriptions, and primary text at scale across Google Ads, Meta,
LinkedIn, TikTok, and Twitter/X with platform character limits, performance
based iteration loops, and batch generation workflows.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
