sr-ai-dev
Official@sr-ai-dev
Engineering lifecycle management platform providing structured requirement derivation, adversarial code review, and iterative verification for complex software development environments.
Agent Skills by sr-ai-dev
Showing 27 vetted skills indexed across 1 GitHub repositories.
sr-ai-devanalyze-oss
Analyze a cloned open-source repository and generate a What/Why markdown report.
sr-ai-devreference-seek
Find internal and external implementation references with code excerpts and documentation pointers.
sr-ai-devstepback
Reframe current work with one abstract step-back question and validate scope, side effects, and approach.
sr-ai-devcouncil
Orchestrate multi-perspective debates and generate decision-ready Tradeoff Maps.
sr-ai-devgoogle-search
Search Google via Chrome and extract full-page content as text or JSON.
sr-ai-devultrawork
Automate approved requirement derivation and implementation execution from a single command.
sr-ai-devdeep-research
Generate cited deep-research reports via parallel web searches and Gemini synthesis.
sr-ai-devralph
Iterate coding tasks until user-confirmed Definition of Done checks pass.
sr-ai-devqa
Locate and reproduce app defects with screenshot evidence and health scoring.
sr-ai-devskill-session-analyzer
Analyze Claude Code session logs against SKILL.md specifications for PASS/FAIL reports.
sr-ai-devdev-scan
Collect and synthesize developer platform opinions into decision-oriented reports with citations.
sr-ai-devknowledge
Manage Knowledge DB entries for modules via index.yaml and git semantics.
sr-ai-devissue
Analyze codebase impact and create GitHub issues via gh issue create.
sr-ai-devtribunal
Run three-perspective adversarial reviews on code changes and plans.
sr-ai-devcompound
Convert pull request discussions and spec context into dated Markdown learning documents.
sr-ai-devtech-decision
Generate conclusion-first technical decision reports comparing A/B/C options with weighted criteria.
sr-ai-devbrowser-work
Explore target websites and generate a pitfall-prevention guide for browser automation.
sr-ai-devexecute
Orchestrate plan-driven build tasks with gate-capped verification and contract auto-patching.
sr-ai-devscaffold
Generate project architecture scaffolding and an AI agent harness from user intent.
sr-ai-devbugfix
Diagnose root causes, generate requirements, and execute verified one-shot bug fixes.
sr-ai-devrulph
Iteratively score and refine artifacts against rubric criteria until thresholds are met.
sr-ai-devcheck
Verify git changes against .sr-harness/rules/ checklist triggers with PASS/WARN aggregation.
sr-ai-devspec-review
Apply natural-language spec feedback to v2 specification artifacts.
sr-ai-devdiscuss
Facilitate structured Socratic dialogue to clarify ambiguous product or engineering ideas.
Frequently Asked Questions About sr-ai-dev
FAQPage SchemaWhat specific engineering tasks are enabled by these capabilities?▼
These capabilities enable structured requirement specification, adversarial code review, automated defect reproduction, and iterative artifact refinement. Users can generate technical decision reports, perform impact analysis on existing codebases, and verify git changes against custom rule-based checklists to ensure project compliance.
Which personas benefit most from these engineering modules?▼
Software architects, senior engineers, and technical leads benefit from these modules. The system is designed for teams requiring rigorous documentation, structured decision-making, and high-fidelity verification of code changes against predefined project specifications and quality rubrics.
What are the prerequisites for implementing these verification modules?▼
Implementation requires a repository structure supporting .sr-harness/rules/ for checklist triggers and index.yaml for knowledge management. Users must provide clear intent or existing specification documents to initiate the requirement derivation and blueprint generation processes.