compiling-architectureUse when: user wants to select architecture patterns, compile a spec, iterate on constraints/NFRs, audit why patterns were selected/rejected, or finalise an...
Install via ClawdBot CLI:
clawdbot install inetgas/compiling-architectureGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/inetgas/arch-compilerAudited Apr 17, 2026 · audit v1.0
Generated Oct 6, 2026
A startup needs to bootstrap a new multi-tenant SaaS product and must pick a canonical architecture from constraints (NFRs, operating model, cost targets) before writing code. They use the compiler to produce a deterministic, reviewable pattern selection that engineers can implement against. The team iterates on the spec as requirements sharpen.
A large enterprise has an existing codebase that drifted from its intended architecture over years of patching. Architects compile the architecture the system should converge to, then re-approve deviations explicitly in the spec rather than silently inheriting accidental prototype choices. This produces auditable migration targets.
A fintech team must prove that retention, auth boundary, and messaging semantics map to explicit architectural patterns. The compiler enforces NFRs from a YAML spec and generates architectural decision records explaining why each pattern was selected or rejected, satisfying internal governance and external auditors.
A cost-sensitive team needs to confirm their proposed architecture is feasible under a tight budget before committing engineering effort. They run cost feasibility analysis against pattern files to identify over-provisioned components and swap in cheaper patterns through spec iteration, with full reproducibility.
After a refactor introduces new coupling, an engineering lead updates the spec and recompiles to catch drift between intended and actual architecture. The deterministic output lets reviewers see exactly which patterns changed and why, halting coding until the architecture is re-approved.
Sell the compiler as a licensed tool that ingests canonical YAML specs and emits reproducible architecture decisions, ADRs, and cost analyses. Buyers value determinism for governance, audits, and cross-team consistency. Revenue comes from per-seat or per-organization licenses plus support.
Offer a hosted service that stores specs, runs compilations, and maintains an audit trail of pattern approvals for regulated customers. The service enforces NFRs and retention policies centrally, reducing the burden on internal platform teams.
Monetize a curated marketplace of vetted architecture pattern files (with cost and NFR metadata) that customers pull into their compiler. Pattern authors and the platform share revenue, driving network effects as more patterns become available.
💬 Integration Tip
Always run the session-start preflight helper and resolve the provider-binding gate before treating any pattern selection as final; keep spec files in the application repo, never the compiler repo.
Scored Oct 6, 2026
Control desktop applications on Windows — launch, close, focus, resize, move windows, simulate keyboard/mouse input, manage processes, control VSCode, read clipboard, and capture screen info. Use when the user wants to interact with any running program, switch windows, type text, press shortcuts, open files in VSCode, manage running processes, or get system display information.
Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.
Pragmatic coding standards for writing clean, maintainable code — naming, functions, structure, anti-patterns, and pre-edit safety checks. Use when writing new code, refactoring existing code, reviewing code quality, or establishing coding standards.
Claude Code integration for OpenClaw. This skill provides interfaces to: - Query Claude Code documentation from https://code.claude.com/docs - Manage subagents and coding tasks - Execute AI-assisted coding workflows - Access best practices and common workflows Use this skill when users want to: - Get help with coding tasks - Query Claude Code documentation - Manage AI-assisted development workflows - Execute complex programming tasks
Plan, draft, version, and refine written content with enforced versioning and quality audits.
Use when writing tests, creating test strategies, or building automation frameworks. Invoke for unit tests, integration tests, E2E, coverage analysis, performance testing, security testing.