prompt-forge
Shape, refine, and stabilize human intent into a canonical prompt artifact. Iteratively clarifies ambiguity until user confirms readiness.
Browse published AI skills maintained by JordanGunn. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
18Repository stars across indexed skills
120Repository forks
15Average repository stars per indexed skill
7Repository stars may repeat across skills from the same repository.
Shape, refine, and stabilize human intent into a canonical prompt artifact. Iteratively clarifies ambiguity until user confirms readiness.
Compile the YAML artifact into PROMPT.md with deterministic structure. A final agent pass polishes for fluidity, conciseness, and correctness.
Execute the forged prompt exactly as written. Requires explicit consent and a ready artifact. Deletes artifact after successful execution.
Convert the user's raw description into a clinically precise intake note suitable for handoff to another agent or human. Captures symptoms, normalizes terminology, and separates observation from belief.
Detect module/package name stutter in Python public APIs. Produces a Markdown report and optional CI gate.
Audit inline complexity and recommend variable extraction. Produces a report with flattening suggestions for nested expressions.
Detect squatters: modules and packages that occupy namespace positions they do not semantically own. Identifies utility dumps, stuttery siblings, axis violations, layer bleeding, and semantic diffusion — common...
Display the execution status of a plan by parsing frontmatter metadata. Shows progress at-a-glance without requiring manual inspection of each file.
Conduct a focused, evidence-driven examination of ONE triaged suspect area. This is a test, not a verdict. Evidence may falsify the leading hypothesis.
Audit identifiers and namespaces for lexical-semantic and ontological correctness. Detect semantic role misalignment (agent/tool/process/artifact), derivational misuse (e.g., -er agent nouns), and category erro...
Produce a treatment note that combines diagnosis, confidence, supporting evidence, alternative explanations, and proposed treatment options. Creates an artifact, not execution.
Orchestrator skill for the `prompt` skillset. Dispatches to member skills in a safe, predictable order. Separates intent formation from execution to protect humans from premature or misaligned execution.
Identify structurally duplicate logic (pipeline-spine duplication) across semantically distinct modules. Use when multiple implementations share the same orchestration skeleton (e.g., bounds→shape→chunking→redu...
Orchestrator skill for the `doctor` skillset. A diagnostic protocol that models software failures as medical cases — preventing premature action, wrong-layer fixation, and false certainty in complex codebases.
Audit semantic noise and namespace integrity. Produces a severity-grouped report with namespace/rename suggestions.
Audit Python imports to preserve semantic context and prevent shadowing after refactors. Prefer namespace-first imports over direct symbol imports for generic identifiers.
Audit dictionary usage against the Dictionary Usage Doctrine. Produces a severity-grouped report with minimal refactor suggestions.
Perform breadth-first hypothesis surfacing and prioritization across all ownership zones, without commitment. This is not diagnosis and not investigation.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.