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Claude Skills by romangalaxys10-spec
github.com/romangalaxys10-spec47 skills0 installs28 views
- FableUse when the user types /fable, or when a task would benefit from past agent experience: retrieve relevant real-world agent session traces from the fable-family Hugging Face datasets; boost the pipeline with local Laya (fast relevance triage), Headroom (transcript compression), and route hard tasks into the /smart ledger loop; when a significant task completes, distill lessons into the local fable corpus and smart's workflows.md; and for video/animation work, hand off to the bundled fable-vid...Votes: 0GitHub stars: 4
- VideoUse when the user types /fable and wants video, film, or animation produced — realistic, lifelike, emotional clips via the vendored ViMax pipeline (idea2video / script2video / novel2video), character animation via the vendored facebookresearch ai4animationpy core, procedural motion graphics via Remotion, or cloud rendering via the runway-api skill. Covers storyboard → shot prompts → keyframes → video clips → final cut, with emotion-first shot writing and camera language.Votes: 0GitHub stars: 4
- Cloudflare Security AuditDerived from the official [`cloudflare/security-audit-skill`](https://github.com/cloudflare/security-audit-skill.git). > **Core Axiom**: Transforms a coding agent into a systematic security auditor capable of fleet-wide codebase scanning and edge posture hardening across 6 isolated phases with independent double-blind verification. ---Votes: 0GitHub stars: 4
- Qa AccessibilityEmbeds continuous accessibility testing using Axe Core and Playwright to guarantee compliance with WCAG 2.1 AA standards.Votes: 0GitHub stars: 4
- Qa Agent EvaluationA repeatable meta-evaluation system designed to benchmark and evaluate autonomous AI coding agents (Claude Code, Cursor, Copilot Workspace, Codex, Windsurf, Cline, Gemini CLI). ---Votes: 0GitHub stars: 4
- Qa ApiValidates backend routes, contract envelopes, status code matrices (200, 201, 400, 401, 403, 404, 409, 422, 429), and strict schema serialization.Votes: 0GitHub stars: 4
- Qa ArchitectPrincipal QA Architect skill powered by Pramod Dutta's QASkills.sh framework. Decomposes any feature into positive, negative, boundary, and error cases (4-quadrant decomposition); designs test pyramids (Unit, Integration, E2E); generates Playwright, Cypress, Vitest, and API test suites; enforces web-first assertions and auto-waiting (no arbitrary sleeps); and manages flaky test quarantine protocols.Votes: 0GitHub stars: 4
- Qa ContractValidates microservice contracts and API interfaces using Pact, OpenAPI specifications, and JSON Schemas to detect breaking integration changes before deployment.Votes: 0GitHub stars: 4
- Qa Coverage AnalysisUpgrades raw line coverage metrics into actionable, risk-weighted coverage analysis across business-critical workflows.Votes: 0GitHub stars: 4
- Qa DataProvides robust test data management: dynamic factories, builders, deterministic seeds, unique identity tagging, PII masking, and isolated transactional cleanup.Votes: 0GitHub stars: 4
- Qa DiscoveryInspects an unfamiliar codebase to discover frameworks, test suites, API routes, database schemas, CI pipelines, and existing test inventory.Votes: 0GitHub stars: 4
- Qa EnterpriseThe primary entry point for **qaforge**: an AI-native quality engineering operating system that turns coding agents (Claude Code, Codex, Cursor, Copilot, Windsurf, Cline, Gemini CLI) into autonomous, evidence-driven QA organizations. ---Votes: 0GitHub stars: 4
- Qa Failure TriageCategorizes test failures into 12 standardized defect buckets and clusters cascading failures down to their single root cause. ---Votes: 0GitHub stars: 4
- Qa Flake DetectionIdentifies non-deterministic test behavior, calculates quantitative Flake Scores, isolates intermittent tests with `@quarantine`, and clusters failures into the 4 flake taxonomies.Votes: 0GitHub stars: 4
- Qa GovernanceEnforces enterprise test standards, compliance controls (SOC 2, ISO 27001, HIPAA, PCI DSS), PII masking, role-based access control (RBAC), and audit log retention.Votes: 0GitHub stars: 4
- Qa Impact AnalysisAnalyzes repository commits, git diffs, and AST symbol changes to calculate the minimal high-confidence test set required to verify a pull request. ---Votes: 0GitHub stars: 4
- Qa Llm TestingFlagship enterprise testing methodology for verifying generative AI applications, LLM reasoning pipelines, tool-calling agents, and RAG systems. ---Votes: 0GitHub stars: 4
- Qa MobileSupports mobile web and native application testing across iOS and Android simulators and real device clouds (BrowserStack/SauceLabs) using Appium and Playwright mobile emulation.Votes: 0GitHub stars: 4
- Qa ObservabilityEmits standardized `TestEvent` data streams across test executions to power real-time dashboards, historical trend analysis, and failure anomaly detection.Votes: 0GitHub stars: 4
- Qa OrchestratorDirects intent classification and coordinates specialized QA sub-agents through the 12-stage enterprise quality lifecycle. ---Votes: 0GitHub stars: 4
- Qa PerformanceExecutes automated load and stress testing using Grafana k6, enforcing quantitative latency SLAs ($p_{95} < 300\text{ms}$) and error rate thresholds.Votes: 0GitHub stars: 4
- Qa Release GateEvaluates pull requests, release branches, and deployment candidates against strict, explainable quality thresholds to emit authoritative release verdicts.Votes: 0GitHub stars: 4
- Qa ReportingGenerates tailored, high-signal quality reports targeting four distinct stakeholder audiences:Votes: 0GitHub stars: 4
- Qa RequirementsDecomposes raw user stories, feature requests, or PR descriptions into structured acceptance criteria across the 4 core testing quadrants.Votes: 0GitHub stars: 4
- Qa Risk AnalysisComputes a deterministic, explainable risk score (0–100) across 8 enterprise dimensions to govern CI test coverage and deployment quality gates. ---Votes: 0GitHub stars: 4
- Qa SecurityScans for security vulnerabilities including OWASP Top 10, auth bypasses, IDOR, input sanitization flaws (SQLi/XSS), and leaked secrets in test artifacts.Votes: 0GitHub stars: 4
- Qa Test ExecutionExecutes targeted test suites across multiple frameworks (Playwright, Vitest, Jest, Cypress, Pytest, k6) with automatic retry management, sharding, and artifact harvesting.Votes: 0GitHub stars: 4
- Qa Test GenerationGenerates production-grade, deterministically isolated test suites using an 8-heuristic design process rather than naive one-shot generation.Votes: 0GitHub stars: 4
- Qa Test HealingRepairs brittle test locators and minor schema drifts while strictly preserving assertion invariants and preventing the accidental masking of real product regressions. ---Votes: 0GitHub stars: 4
- Qa Test ReviewAudits proposed or existing test code against 17 distinct quality dimensions to guarantee tests catch genuine bugs and do not produce false passes.Votes: 0GitHub stars: 4
- Qa Test StrategyBalances test distribution across the Test Pyramid (Unit 60%, Integration 30%, E2E 10%) to maximize defect detection while minimizing runtime cost and flakiness.Votes: 0GitHub stars: 4
- Qa VisualPerforms automated visual regression verification with intelligent anti-aliasing masking, dynamic content suppression, and responsive viewport matrices.Votes: 0GitHub stars: 4
- ReverifyInspired by and derived from [`2akouwu/reverify`](https://github.com/2akouwu/reverify.git). > **Core Axiom**: The AI is NEVER allowed to assert a fact independently. > Every claim regarding codebase state, function signatures, struct fields, bug causes, or test outcomes must be submitted as a structured hypothesis and verified against ground truth by deterministic tools. ---Votes: 0GitHub stars: 4
- Stop SlopDerived from Hardik Pandya's [`stop-slop`](https://github.com/hardikpandya/stop-slop.git). > **Core Principle**: AI-generated text and UI have predictable, formulaic "tells." Good engineering and design demand authentic, human-crafted specificity. Eliminate generic filler, over-explained concepts, and visual cliches. ---Votes: 0GitHub stars: 4
- Strix PentestDerived from the [`usestrix/strix`](https://github.com/usestrix/strix.git) multi-agent security framework. > **Zero False Positives Invariant**: Strix only reports a vulnerability if it drafts, executes, and validates a working Proof-of-Concept (PoC) exploit in an isolated sandbox. Theoretical alerts without executable verification are rejected. ---Votes: 0GitHub stars: 4
- Token EfficiencyUniversal Token Efficiency Protocol derived from Pi coding agent (pi.dev), Databricks MemEx harness architectures, and Marcos Hernanz's 60B-token behavioral rules. Works across ALL AI coding agents and IDEs (Antigravity, Z.ai ZCode, Claude Code, Cursor, Windsurf, Cline, Aider). Enforces AST-first file access, progressive disclosure, dynamic output compression (DTOC), subagent scoping, phase compaction, session caches, and OS memory guard protocols.Votes: 0GitHub stars: 4
- Api Testing RestStandardized API validation mental model for AI coding agents. Focuses on contract integrity, schema validation, and complete status-code coverage.Votes: 0GitHub stars: 4
- Axe AccessibilityAutomated accessibility testing instructions for AI coding agents. Ensures applications are fully accessible to screen readers and keyboard users.Votes: 0GitHub stars: 4
- Flaky Test QuarantineThe standard protocol for identifying, quarantining, and systematically eliminating intermittent or flaky test failures in CI.Votes: 0GitHub stars: 4
- Jest Vitest UnitCore foundational unit testing methodology for AI coding agents. Focuses on exhaustive edge-case coverage and boundary partitioning.Votes: 0GitHub stars: 4
- K6 PerformancePerformance and load testing patterns for AI coding agents. Enforces quantitative SLA thresholds and progressive virtual user (VU) ramps.Votes: 0GitHub stars: 4
- Playwright E2eExpert-level Playwright testing instructions for AI coding agents. Focuses on robust, maintainable, flake-free browser automation.Votes: 0GitHub stars: 4
- Test Case DecompositionThe core thinking instruction taught by Pramod Dutta for AI agents: before generating code, decompose the feature into four mutually exclusive, comprehensively exhaustive testing quadrants.Votes: 0GitHub stars: 4
- LauncherUse when the user types /fable, or when a task would benefit from past agent experience: retrieve task-relevant agent session traces across all fable-family Hugging Face datasets; boost with local Laya triage + Headroom compression; scaffold the /smart ledger for hard tasks; generate video/animation (ViMax, AI4Animation, Remotion, Runway); record lesson cards after significant tasks. This launcher resolves the installed fable plugin and delegates to its full skill.Votes: 0GitHub stars: 2
- BrainstormingUse before any creative work through /fable — creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design through collaborative dialogue (spike / bounded / architectural paths) before implementation. Adapted for fable from obra/superpowers (MIT).Votes: 0GitHub stars: 2
- Sec ScanSelf-contained security audit for web properties: response-header hardening, CSP policy linting, TLS config, exposed sensitive files, secret leak scan, port/OS detection, and version-leak checks. Use when asked to security-scan / audit / pentest-lite a site or VPS before launch or after a security report arrives. Vendored into fable; routed automatically by scripts/route.py for security-audit tasks.Votes: 0GitHub stars: 2
- Smart ProtocolGVS5H ledger-based self-orchestration v2 for hard problems — multi-agent solve loop with 10 research-backed enhancements (adversarial test-writer, parallel approach racing, difficulty-adaptive budgets, structured reflection, scrutiny selection, backtracking checkpoints, self-attack pass, model-per-role, workflow memory, handoff discipline). Use for hard algorithmic/coding tasks, gnarly debugging, architecture design, or anything the user flags with /smart. Triggers: "smart mode", "/smart", "s...Votes: 0GitHub stars: 2