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Analyze and compile prompts for LLMs with intent and cost awareness.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "signalforge" yet — see the docs or source repo.
Analyze this prompt for GPT and Claude, identify unclear intent, missing context, and token waste, then generate optimized versions for each model.
Returns a diagnosis checklist and clearer, more cost-efficient prompts tailored to each model.
I want an LLM to summarize user interviews. Compile a task-specific prompt based on my goal, output format, and constraints, and tell me what key information is missing.
Generates a ready-to-use interview summary prompt plus suggested missing context to add.
Evaluate the cost risks of this workflow prompt set, identify repeated instructions, bloated context, and low-value steps, and suggest leaner alternatives.
Provides cost risk analysis, waste explanations, and a more efficient streamlined prompt set.
Draft and propose Signal messages with explicit human approval before sending.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Convert natural language into validated structured tool calls with automatic recovery.
Generate broadcast-quality sound effects locally from text prompts.
Delegate low-risk tasks to a cheaper model with main-agent review.
Aggregate coding plan services for code review, plan review, and AI coding dialogue.