mind-systems
Official@mind-systems
Offers structured project governance, technical documentation generation, and rigorous code quality enforcement for complex software development lifecycles.
Agent Skills by mind-systems
Showing 20 vetted skills indexed across 1 GitHub repositories.
mind-systemsaif-implement
Execute sequential plan tasks and preserve progress across sessions.
mind-systemsaif-fix
Automate guided bug-fix workflows with plan-first or immediate-fix modes.
mind-systemsaif-rules
Append new rules to .ai-factory/RULES.md without duplicating existing entries.
mind-systemsaif-verify
Audit plan tasks against code, tests, and quality gates.
mind-systemsaif-plan
Create structured implementation plans with task breakdowns and dependencies in .ai-factory/plans files.
mind-systemsaif-build-automation
Generate or enhance Makefile, Taskfile.yml, Justfile, and Magefile.go build files.
mind-systemsaif-docs
Generate a lean README and topic-based docs/ directory with YAML frontmatter.
mind-systemsaif-security-checklist
Audit software projects against OWASP Top 10 security controls.
mind-systemsaif-evolve
Analyze patches and project context to improve AI Factory skills.
mind-systemsaif-architecture
Analyze a project's tech stack from DESCRIPTION.md and generate ARCHITECTURE.md.
mind-systemsaif-note
Extract a research summary from conversation context and save it as a numbered Markdown note.
mind-systemsaif-skill-generator
Generate complete Agent Skills packages with SKILL.md, references, scripts, and templates.
mind-systemsaif-roadmap
Generate and update .ai-factory/ROADMAP.md from project vision and codebase analysis.
mind-systemsaif
Analyze tech stacks and install relevant skills from skills.sh.
mind-systemsaif-best-practices
Enforce universal code quality guidelines for naming, structure, error handling, testing, and code review.
mind-systemsaif-review
Automate code reviews of staged changes and pull requests.
mind-systemsaif-loop
Execute a six-phase reflex-loop workflow to iteratively refine artifacts.
mind-systemsaif-explore
Guide open-ended exploration of ideas and requirements without writing code.
mind-systemsaif-grounded
Enforce evidence-based answers with a 100/100 confidence gate and missing-evidence checklist.
mind-systemsaif-improve
Refine implementation plans by re-analyzing codebases to identify gaps and incorrect dependencies.
Frequently Asked Questions About mind-systems
FAQPage SchemaWhat specific project management tasks can be performed using these capabilities?▼
These capabilities enable structured implementation planning, task dependency mapping, and progress tracking across sessions. You can generate project roadmaps, maintain technical documentation with YAML frontmatter, and enforce rigorous quality gates for code reviews and bug-fix cycles.
Which engineering personas benefit most from these technical governance features?▼
Software architects, lead developers, and technical project managers benefit most. These features are designed for teams requiring standardized documentation, consistent build configurations like Makefiles or Taskfiles, and automated adherence to security and quality best practices within their development environments.
What are the primary prerequisites for integrating these capabilities into a project?▼
Integration requires a repository containing a DESCRIPTION.md file to define the tech stack and project vision. The system utilizes a .ai-factory directory structure to store plans, rules, and roadmaps, ensuring all generated artifacts remain grounded in the specific context of your codebase.