Skills publicadas
Mostrando 11 de 23test-plan-generation
Generates professional Test Plan and Test Cases documents following IEEE 829 test documentation standards, ISTQB testing methodologies, and Google Testing Blog best practices. This skill activates when the user asks to write a test plan, create test cases, draft a test plan document, create a test cases document, define a test strategy, write a QA document, produce a testing document, draft a test
srs-generation
Generates professional Software Requirements Specification (SRS) documents based on IEEE 830, ISO/IEC/IEEE 29148, and Amazon technical specification standards. This skill activates when the user needs a requirements document, requirements specification, SRS, functional requirements, non-functional requirements, software requirements, requirements analysis, or requirements engineering. It formalize
prd-generation
Generates professional Product Requirements Documents (PRDs) following industry-standard methodologies. This skill activates when the user asks to write PRD, create a product requirements document, draft product requirements, do product planning, do feature planning, write a product spec, or create a product document. It synthesizes best practices from the Google PRD framework, the Amazon Working
review
Review spec-forge generated documents (tech-design + feature specs) for quality, completeness, and internal consistency. Finds issues like incomplete sections, contradictions, missing traceability, and vague specs, then optionally auto-fixes them. Supports iterative review-fix cycles with a maximum of 2 iterations.
tech-design-generation
Generates professional Technical Design Documents following industry-standard engineering practices. This skill activates when the user asks to write a technical design, create an architecture design, draft a design doc, write a technical proposal, do system design, create a technical design document, write an RFC, create a design document, or produce an architecture document. It synthesizes best
idea
Use when exploring a new idea before writing formal specifications. Guides users through iterative discovery, research, and critical analysis to crystallize vague ideas into validated requirement drafts. Includes anti-pseudo-requirement checks, competitive research, demand evidence gathering, and "What if we don't build this?" analysis. Supports pause/resume across sessions, stores ideas in the pr
test-cases-generation
Generates structured test case sets with multi-dimensional coverage from project code analysis or specification documents. This skill activates when the user asks to write test cases, generate tests, supplement tests, create test coverage, or improve test completeness. It auto-scans the project to extract testable units (APIs, functions, components, CLI commands, tool definitions), identifies cove
audit
Audit existing project documentation for quality, completeness, consistency, and code alignment. Scans docs against the actual codebase to find stale references, missing coverage, internal contradictions, and quality issues. Generates a structured findings report with severity levels and actionable fix recommendations. Works on any project with a docs/ directory.
propagate
Walk an upstream documentation change downstream — when a PRD, SRS, tech-design, or feature spec is edited, find every dependent document, identify which sections are now stale, and interactively update them to keep the entire doc chain consistent. Use after editing any spec-forge document, or run periodically with --since to catch accumulated drift.
decompose
Lightweight project decomposition skill. Analyzes project scope through a brief interview and determines whether the project should be treated as a single feature or split into multiple sub-features. For multi-split projects, generates a project manifest listing sub-features, dependencies, and execution order.
analyze
Analyze a collection of documents to build a knowledge map, identify themes, find gaps, duplicates, conflicts, and staleness, then produce an organized analysis with improvement recommendations. Designed for document ecosystems (cross-repo docs, research collections, mixed-format doc repos) where the challenge is understanding the landscape, not auditing against code.