Extract and summarize test failures from logs. Use to quickly understand what tests failed and why.
Turn an approved Azure DevOps pull request into hard CentralGauge benchmark trap-tasks. Use when authoring new AL tasks from real merged PRs / work items, when a task should probe…
Extract reusable UI components from inline patterns. Covers component design, TypeScript props, Storybook stories, refactoring strategy, and best practices for creating shared UI…
Use when analyzing FileMaker DDR to extract calculations, custom functions, and business logic for PostgreSQL import processes or maintenance scripts - focuses on underst — from…
Use when analyzing FileMaker DDR to extract calculations, custom functions, and business logic for PostgreSQL import processes or maintenance scripts - focuses on underst — from…
Systematically trace cascading consequences from a single change or axiom. Reference when propagating the implications of a world rule, testing whether an axiom has been fully…
A framework for discovering non-obvious product solutions by rapidly building and testing radical, opposing versions of a feature's core attributes.
Execute and generate ExUnit tests for Elixir projects with setup callbacks, describe blocks, and async testing support — from FortiumPartners/ensemble
Reviews ExUnit test code for proper patterns, boundary mocking with Mox, and test adapter usage. Use when reviewing _test.exs files or test helper configurations.
Execute and generate ExUnit tests for Elixir projects with setup callbacks, describe blocks, and async testing support — from engineering/testing
Use when writing, modifying, or reviewing tests for Elixir/Phoenix code in this project — ExUnit unit/integration tests, property-based tests with stream_data, or Phoenix LiveView…
Designs and implements Eyefi fleet/device features using DDD — Device aggregate, ConnectionProfile, DeviceEvent (later DeviceRecording), CameraVendorDriver registry, Mobotix…
在程式裡串接、開發或除錯台灣 ezPay（簡單行動支付，藍新 NewebPay 家族）電子發票 API 時使用本 skill —— 任何語言或框架皆適用（Laravel/PHP、Python、Node、Go…）。典型任務：開立 B2C/B2B 發票、觸發開立、作廢發票、…
Fusion/Comparison Thread for architecture decisions. Use when: - User says "compare approaches", "which is better" - User asks to "evaluate options", "architecture decision" -…
Use when completing tasks, implementing major features, or before merging to verify work meets requirements — from engineering/code-quality
Knowledge base from the FAA Requirements Engineering Management Handbook (DOT/FAA/AR-08/32). Use for writing requirements for real-time, embedded control systems — the…
Autonomous large codebase migration agent optimised for Claude Fable 5 (Mythos class). Scopes the migration, builds a dependency-ordered wave plan, executes incremental file…
Use when you need a deep, honest audit of a repository with a prioritized improvement plan — before a refactor, before onboarding a new contributor, or before committing to a…
Use when the user wants a GitHub issue validated by a Fable 5 subagent. Spins up a read-only subagent running on Fable 5 that executes the validate-issue procedure (claim tracing,…
A harness that makes Opus (or any Claude model) behave like Fable — it enforces seeing a task through to the end, with evidence and verification, as procedure.
How FabLL (faebryk.core.node) maps Python node/trait declarations into the TypeGraph + instance graph, including field/trait invariants and instantiation patterns.
Set up and configure FabrCore servers: AddFabrCoreServer, options, fabrcore.json LLM providers, REST APIs, WebSocket, system agents, Blueprint provisioning, storage, custom…
Review Microsoft Fabric analytics engineering artifacts — Fabric Data Warehouse T-SQL design and anti-patterns, dimensional modeling (star schema, fact and dimension tables,…
Use when authenticating to Microsoft Fabric APIs — getting 401 Unauthorized errors, choosing token audience/scope for Fabric REST, Power BI REST, OneLake, Warehouse/SQL, KQL,…
Use for the fabric-cicd Python library (`pip install fabric-cicd`, v1.3 Aug 2026, Python 3.9–3.13) — Microsoft's official code-first CI/CD library for Fabric workspaces:…
Use when configuring Microsoft Fabric Data Agents (GA March 2026) — conversational Q&A built on Azure OpenAI Assistant APIs over Lakehouse / Warehouse / KQL / Semantic Model /…
Review Microsoft Fabric data engineering artifacts — Lakehouse and OneLake design, medallion (bronze/silver/gold) architecture, Spark notebooks and Spark job definitions, Data…
Use for Microsoft Fabric Eventhouse / KQL Database. Covers connection (cluster URI via `kqlDatabases` REST, kusto.kusto.windows.net audience, az rest temp-file for `|` escaping),…
Use for Microsoft Fabric Eventstream — the streaming-ingestion item routing CDC / Event Hubs / Kafka / IoT / HTTP / MQTT events into Lakehouse, Eventhouse, Activator, or derived…
Use for Microsoft Fabric REST API patterns: listing and paginating workspaces/items with continuationToken/continuationUri, calling /v1/workspaces/{wsId}/items, handling…
Diagnose and resolve Microsoft Fabric REST API performance issues including HTTP 429 throttling, long running operation (LRO) timeouts, pagination bottlenecks, and slow API…
Diagnose and resolve Microsoft Fabric REST API errors including HTTP 401 Unauthorized, 403 Forbidden, 404 Not Found, 429 Throttling, and 5xx server errors.
Diagnose and resolve performance issues with Microsoft Fabric User Data Functions. Use when functions are slow, timing out, returning errors, consuming excessive capacity units,…
Use for T-SQL against Fabric Warehouse (NOT Fabric SQL Database — see fabric-database). Covers unsupported types (nvarchar/datetime/money/xml/tinyint/hierarchyid), unsupported…
Create and evolve Fabric IQ Ontology (preview) items from CLI — define entity types, properties (including timeseries), relationship types, and bind them to OneLake lakehouse…
Cognitive architecture for developers: hybrid RAG (vector + knowledge graph) that learns from your coding sessions and grows smarter over time.
Use when deciding whether a responsible-AI project belongs at ACM FAccT or should route to a pure-ML venue (NeurIPS/ICML/ICLR), an HCI venue (CHI/CSCW), a law/policy venue, or an…
Face alignment, landmark extraction, and quality gating. Use when debugging alignment issues, reviewing rejected faces, or tuning quality thresholds.
Build face recognition systems with InsightFace, ArcFace, enrollment pipelines, HDBSCAN clustering, and privacy-compliant architecture.
Receive and verify Facebook (Meta Graph API) webhooks. Use when setting up Facebook webhook handlers, completing the GET verification handshake, debugging X-Hub-Signature-256…
Use when developing, sharpening, or pressure-testing a strategy or strategic plan — for a business, product, startup, campaign, or personal plan; when asking "is this a real…
Verify technical accuracy of JavaScript concept pages by checking code examples, MDN/ECMAScript compliance, and external resources to prevent misinformation — from tc39/proposals
Perform 12-Factor App compliance analysis on any codebase. Use when evaluating application architecture, auditing SaaS applications, or reviewing cloud-native application — from…
Apply factory function patterns to compose clients and services with proper separation of concerns. Use when creating functions that depend on external clients, wrapping resources…
Require a failing signal before bug fixes or behavior changes. Use when fixing a bug, adding behavior, changing edge cases, or reviewing AI code that lacks proof.
Use when confronted with an unknown failure in CI or production to rapidly categorize the issue before deep debugging.
Automation & tooling specialist: browser automation, CI/CD, monorepo, performance testing, feature flags. 23 methodologies.
Code quality specialist: architecture patterns, refactoring, code review, development practices. 23 methodologies.
ML Engineer role: LLM APIs (OpenAI, Claude, Gemini), embeddings, RAG pipelines, fine-tuning, LangChain, LlamaIndex, vector databases (Pinecone, Chroma, Weaviate), prompt…
Automatically manages PostgreSQL backups with pgBackRest and Wasabi S3 storage when working with FairDB databases
Complete fal.ai API reference system. PROACTIVELY activate for: (1) @fal-ai/client JavaScript setup, (2) fal_client Python setup, (3) fal.subscribe/run/stream methods, (4) Queue…
Complete fal.ai optimization system. PROACTIVELY activate for: (1) Queue vs run performance, (2) Parallel request batching, (3) Streaming for real-time UI, (4) WebSocket for…
Complete fal.ai serverless deployment system. PROACTIVELY activate for: (1) Creating fal.App class, (2) GPU machine selection (T4/A10G/A100/H100), (3) setup() for model loading,…
Lints, tests, simulates, and formats Fastly VCL code using the falco tool. Also serves as the authoritative VCL reference via the falco Go source, which implements Fastly's full…
For cross-version support: try/except imports, optional dependencies, graceful degradation across Python versions.
Configures Claude Code's fallbackModel chain, --safe-mode troubleshooting protocol, and /cd workspace hygiene for production-resilient autonomous coding sessions.
Reliable Python execution workflow when execute_code_sandbox or shell_agent fail
Two-step script execution workflow for debugging when shell_agent and execute_code_sandbox consistently fail
Codebase intelligence for JavaScript and TypeScript. Free static layer finds unused code (files, exports, types, dependencies), code duplication, circular dependencies, complexity…
Fires when a state-mutating task is about to be declared Done (success summary or completion verdict) — to catch silent success, the highest-frequency invisible agent failure…