CagesThrottleUs
Community@CagesThrottleUs
CagesThrottleUs provides a 63-skill engineering harness covering the full software delivery lifecycle from business intake through production readiness, testing, and incident response.
Agent Skills by CagesThrottleUs
Showing 63 vetted skills indexed across 1 GitHub repositories.
CagesThrottleUsdeployment-workflow
Generates rollback procedures, migration checklists, smoke tests, and release notes before deployment.
CagesThrottleUscodebase-comprehension
Maps symbols, callers, call chains, and dependencies before modifying code.
CagesThrottleUsproduction-readiness-review
Consolidates SLOs, rollback tests, runbooks, and capacity evidence into a go/no-go launch checklist.
CagesThrottleUsusing-git-worktrees
Creates isolated git worktree workspaces with native tool detection and baseline test verification.
CagesThrottleUssequence-diagram
Generates Mermaid sequence diagrams for multi-service flows from HLD and spec documents.
CagesThrottleUsdesign-principles
Applies DRY, KISS, YAGNI, SOLID, and GoF patterns as a review lens during planning and code review.
CagesThrottleUsincident-response
Generates severity matrices, response playbooks, and blameless postmortem templates for production services.
CagesThrottleUsdatabase-erd
Generates Mermaid erDiagram schema documentation from migration files and ORM models.
CagesThrottleUstest-driven-development
Enforces red-green-refactor test-first workflow for features, bugfixes, and refactoring.
CagesThrottleUssystematic-debugging
Diagnose bugs through a four-phase root cause investigation process before proposing fixes.
CagesThrottleUsinfrastructure-as-code
Generates Terraform or Pulumi infrastructure with pinned providers, remote state, and CI pipelines.
CagesThrottleUsoutcome-review
Measures shipped features against intake metrics and renders persevere, iterate, or kill verdicts.
CagesThrottleUsci-pipeline-setup
Generates platform-specific CI/CD pipeline configs and pipeline specification documents for new branches.
CagesThrottleUsproperty-based-testing
Generates property-based and fuzz tests for functions with checkable invariants across five language ecosystems.
CagesThrottleUsusing-superpowers
Enforces skill discovery and invocation before any response across Claude Code, Codex, Copilot CLI, and Gemini CLI.
CagesThrottleUsdispatching-parallel-agents
Dispatch concurrent agents to fix independent test failures across separate problem domains.
CagesThrottleUsfeature-flags
Implements feature flag lifecycle with OpenFeature SDK setup, progressive rollout, and CI expiry checks.
CagesThrottleUsapi-contract-first
Generates OpenAPI 3.1 or protobuf API contracts with Spectral linting and Prism mock servers before handler implementation.
CagesThrottleUscommit-discipline
Generates Conventional Commits messages and enforces micro-commit discipline rules.
CagesThrottleUsdeterministic-simulation-testing
Tests distributed systems by replaying seeded fault injections through simulated network, disk, and clock boundaries.
CagesThrottleUschaos-engineering
Generates k6 and Toxiproxy chaos tests that verify circuit breakers and graceful degradation against resilience NFRs.
CagesThrottleUsspec-quality-gate
Validates specification files through reviewer agent cycles before implementation planning begins.
CagesThrottleUscode-documentation
Enforces spec-traceable docstrings on every public construct at authorship time.
CagesThrottleUskarpathy-guidelines
Applies behavioral guidelines to reduce common LLM coding mistakes during writing and review.
Frequently Asked Questions About CagesThrottleUs
FAQPage SchemaWhat tasks can I accomplish using CagesThrottleUs's skills?▼
The 63 skills cover the full delivery lifecycle: business-context intake, brainstorming, spec quality gates, high-level design with C4 diagrams, TDD, integration/E2E/load/chaos testing, Terraform infrastructure provisioning, CI pipeline setup, deployment with rollback procedures, incident response, and DORA delivery metrics.
Who is the target audience for this skill collection?▼
Software engineers, SREs, and engineering leads working on production services. The /engineer entry point routes quick fixes, bounded features, full epics, and research spikes, while portfolio-management serves department-level prioritization across multiple epics using WSJF ranking.
How do I invoke and run these skills in practice?▼
Start with /engineer, which classifies request complexity and proposes a skill chain for confirmation. Skills run on Claude Code, Codex, Copilot CLI, or Gemini CLI per the using-superpowers skill. Individual skills like /review, /commit, and /teacher are directly user-invocable.
What testing and verification capabilities are included?▼
The manifest includes TDD, property-based testing (Hypothesis, fast-check, jqwik), deterministic simulation testing modeled on TigerBeetle's VOPR, formal verification via Verus/Dafny/SPARK, Testcontainers integration tests, Playwright E2E with WCAG accessibility checks, k6 load testing, and OWASP ZAP DAST scanning.
Are there prerequisites or dependencies for using these skills?▼
Skills leverage existing repo tooling: git, gh CLI for GitHub operations, Docker for Testcontainers, and detected CI platforms (GitHub Actions, GitLab CI, Jenkins, CircleCI, Azure DevOps, Bitbucket). Codebase comprehension uses codegraph, LSP, ctags, or ripgrep as fallbacks. The karpathy-guidelines skill is MIT licensed.