forge
SolidReference-grounded prompt-artifact formation. Reads a target reference document (vendor prompt guide, Codex Goals spec), surfaces the user's under-determined contract coordinates, and projects a ready-to-use prompt artifact — an initial prompt for a follow-up session or tool, or a standing custom-skill recipe. Use when the user asks to 'forge a prompt', 'turn this guide into a usable prompt', 'make a Higgsfield prompt', 'draft a /goal from this', or has latent intent that must be grounded in an external reference before a tool can run it.
Install
Quality Score: 84/100
Skill Content
Details
- Author
- jongwony
- Repository
- jongwony/epistemic-protocols
- Created
- 8 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
forge-prompt
This skill should be used to sharpen a rough or vague request into a high-quality, context-aligned prompt before acting on it — phrases like "forge-prompt", "optimize this prompt", "refine my request", "make this prompt better", "turn this into a proper prompt", or "what's the best way to ask for this". It clarifies intent, grounds the request in the project's context files, and outputs a sharp prompt or spec the user confirms — it never silently changes what the user meant.
prompt-forge
Optimizes complex first requests and executes them immediately, applying safe repository engineering rules. Use for complex initial requests or any code repository work.
ingest
Grounds the next forge step in supplied reading, weighing sources the way the owner handed them. Material the request is built on (inspired-by, do-what-they-do, this person's articles, "the primary resources") is read whole in the main thread; supplementary references fan out to parallel subagents (one per source) that return quoted excerpts. Both land in a bounded brief with citations that hands off to the forge skill with the right surface in mind. Use when you have reading material (URLs, papers, blog posts, internal docs, pasted content) and want the next forge step grounded in those sources rather than training-data priors; skip when training already covers the topic well.