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Found 4,065 Skills
Trading expert for Forex/CFD, indices (DAX, NASDAQ, S&P500), MQL5, Pine Script v5, MT5 Python API. Use for: trading strategies, technical analysis, risk management, Expert Advisors, custom indicators, backtesting, copy trading, prop trading rules, Smart Money Concepts, ICT, Ichimoku Kinko Hyo, ŚWISTAK Fibonacci.
Facilitates the second step of a proven customer-interview method: recording the user's current best guesses — hypotheses — as numbered, falsifiable statements (H1, H2, …), each mapped to the goal questions it addresses, so interviews can confirm or contradict them instead of confirmation bias quietly filtering what's heard. Takes a GOALS.md goal-question list as input (file or pasted), elicits what the user believes goal by goal, sharpens vague beliefs into testable claims, prunes to hypotheses whose resolution would actually change what the user builds, targets, charges, or says, and preserves the result in HYPOTHESES.md. Load when the user has goal questions and wants to write hypotheses, list their assumptions, or record predictions before interviewing customers — 'I have my goals, what's next,' 'help me write down what I believe about my customers.' Do NOT load for writing the interview questions themselves, for analyzing interviews already conducted, or for statistical hypothesis testing.
Use when building, editing, validating, testing, or debugging an n8n workflow through the n8n-mcp MCP server — designing a flow, configuring a node, writing an expression or Code node, wiring credentials, or fixing one that misbehaves. The entry-point skill for the n8n-mcp-skills pack: it routes you to the right specialist skill, gives working knowledge of every n8n-mcp tool from turn one, and states the rules that keep workflows from breaking in production. Always consult it first on any n8n, workflow, node, or automation task — even a quick one-off, and even when the user names no skill — because n8n's surface drifts between versions and the specialist skills prevent silent failures.
Create and manage test data with factory patterns, fixture strategies, data anonymization, and synthetic data generation. Covers Fishery (TypeScript), FactoryBot (Ruby), Factory Boy (Python), database seeding, cleanup strategies, and GDPR-compliant data handling. Use when: "test data," "fixtures," "factories," "seed data," "synthetic data," "test database," "data anonymization." Not for: migration/integrity testing of the DB itself — use database-testing; environment provisioning and database branching strategy — use test-environments. Related: test-environments, database-testing, api-testing, unit-testing.
Hybrid fingerprint + LLM pipeline for bug classification, deduplication, and ticket generation. Normalizes CI logs, creates stable fingerprints, clusters near-duplicates, then uses LLM for severity classification and ticket writing. Includes bug reporting templates and severity/priority matrix. Use when: "bug triage," "classify bugs," "failure analysis," "auto-classify," "CI failures," "bug report," "defect template." Not for: runtime self-healing of one flaky locator — use test-reliability. Not for: designing new tests from production telemetry — use observability-driven-testing. Related: qa-metrics, qa-dashboard, ci-cd-integration, qa-project-context.
Standards and conventions for the @sasjs/core SAS macro library (mf_*, mp_*, mm*, ms_*, mv_* macros). Use when writing or editing SAS macros in a sasjs/core-style repo, when choosing an existing macro instead of reinventing one, or when asked about the sasjs/core build, lint, doxygen header, or testing conventions.
How to write effective agent skills — what to do, what not to do, anatomy, progressive disclosure, design patterns, anti-patterns, testing, security. Read this whenever a skill (Claude Skill, Agent Skill, SKILL.md) is being created, edited, reviewed, or debugged. Use when the user says "create a skill", "new skill", "update this skill", "improve a skill", "why isn't my skill triggering", or anything else involving authoring or editing SKILL.md files.
Bootstrap agents for iOS, iPadOS, macOS, Swift, SwiftUI, SwiftData/Core Data, Swift Testing, Xcode build/test/debug, Simulator, App Intents, or XcodeBuildMCP work. Use before building, fixing, refactoring, QAing, or setting up Apple-platform repos, and when asked to load/install Ray's iOS skills or bootstrap iOS.
7 Email 1 variations from ColdIQ core framework plus Email 2 and Email 3 templates. Use when crafting the first email in a sequence, testing different opening structures, or building complete email cadences.
Use when someone asks to generate ad copy, write headlines, create copy suggestions, or draft marketing text — without generating a design. Also use when the user mentions 'copy suggestions,' 'headline ideas,' 'ad copy,' 'write copy for my ad,' 'content for my design,' 'text for my banner,' 'offer text,' 'bullet points for my ad,' 'CTA text,' or 'what should my ad say.' Generates structured copy variations using content expert instructions — no API call needed. Default is 2 variations; user can request more (e.g., 3–4 for A/B testing). Copy is presented in readable format for user review and edit, with JSON output for use in generate-design. For generating designs (which now includes copy generation as step 1), see generate-design.
Clarify and compile project technical solutions. Use this when users need to determine the overall implementation approach, key technology trade-offs, module and file responsibilities, compatibility and verification boundaries for a problem, bug, function change, or existing requirement in combination with the current project, or when they need to create a technical document that can be understood by product, development, and testing teams and used for subsequent work. No prior requirement document is required, and it does not cover task breakdown, coding implementation, or project acceptance.
Author Grafana Cloud Synthetic Monitoring checks, with deep coverage of k6 scripted and browser checks: SM's single-VU/single-iteration execution model, assertions that actually fail probe_success (expect() and fail() vs bare check()), secrets, deterministic scripts, robust browser locators, local validation with k6 run, deployment via UI/API/Terraform, verifying probe_success, and rollback. Also helps choose the simplest sufficient check type (HTTP/ping/DNS/TCP, MultiHTTP, scripted, browser). Use when writing a synthetic check, monitoring a login/checkout/signup flow in production, converting a k6 script or an OpenAPI spec into a check, authoring a browser check, validating a user journey, or asking "is my site up from multiple regions". NOT for load, stress, or performance testing — SM runs one iteration per execution; for load tests use the grafana-k6 plugin or Grafana Cloud k6. For the broad Grafana Cloud Testing overview (SM + k6 Cloud + Faro), use the testing skill.