Strip specific model names from the find-models, prompt-images, and
prompt-videos skills so agents don't anchor on names from training data
or past conversations. Add directives at the top of each skill telling
agents to query the Replicate API for current best models.
Build and publish skills are unchanged because their model references
point at real production cog repos used as build patterns, not running
model recommendations.
Two new skills covering the model-creation lifecycle:
- build-models: packaging custom models with Cog (cog.yaml, predict.py,
weights loading with pget, cold-boot tricks, async predictors).
- publish-models: cog push, cog-safe-push, GitHub Actions patterns,
multi-model matrix pushes, and post-publish monitoring.
Descriptions are written to be easy for agents to trigger on, with
specific file names, commands, and trigger phrases.
Patterns are distilled from production Replicate model repos including
cog-flux, cog-flux-kontext, cog-vllm, cog-comfyui, flux-fine-tuner,
vibevoice, cog-template, and model-ci-template.
Remove all code snippets and SDK references from find-models, compare-models,
and run-models to match the concise bullet-point style of the original skill.
Update .claude-plugin/marketplace.json to list all four skills.
Update .claude-plugin/plugin.json version to 2.0.0.
Update CI to publish four skills to ClawHub with replicate- prefixed slugs.
Replaces the single skills/replicate/ skill with four:
- find-models: search API, collections, schemas, model selection guidance
- compare-models: evaluating models by cost, speed, quality, capabilities
- run-models: predictions, polling, webhooks, streaming, file I/O, concurrency, multi-model workflows
- prompt-images: prompting techniques for image generation and editing models (sourced from 14 Replicate blog posts)
The find-models and run-models skills include runnable code snippets in bash, Python, and JavaScript pulled from the comprehensive skill branch. The prompt-images skill is new content distilled from Replicate's blog.
Also updates script/lint to validate all skills by default.
Extracted generally useful advice from the pipelines agent context:
- Warn that even popular models change their schemas
- Validate parameters against schema constraints (min/max/enum)
- Use default examples when unsure about parameter values
- Don't set optional inputs without a reason
Zeke Sikelianos