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Found 2,734 Skills
Run the localization workflow: extract strings, validate localization readiness, check for hardcoded text, and generate translation-ready string tables.
Ask the user questions about the plan to prevent mistakes.
Manage MTHDS packages — initialize, configure exports, list, and validate. Use when user says "init package", "set up METHODS.toml", "manage packages", "mthds init", "validate package", "list package", or wants to manage MTHDS package manifests.
Use when you need hard pass fail eval gates for generated projects and skills; pair with addon-decision-justification-ledger and addon-human-pr-review-gate.
Use when reviewing SKILL.md files for structure and trigger quality.
Identify the first beachhead market segment for a product launch. Evaluates segments against burning pain, willingness to pay, winnable market share, and referral potential. Use when choosing a first market, targeting an initial customer segment, or planning market entry strategy.
Smoke test for alicloud-ai-content-aicontent. Validate minimal authentication, API reachability, and one read-only query path.
Comprehensive content review and quality assurance for PRD documents - validates link integrity, threshold consistency, BRD alignment, and identifies issues requiring manual attention
Ensures tasks are genuinely resolved before marking them done. Activates at task checkpoints during plan execution — validates that fixes actually work, tests genuinely pass, and acceptance criteria are met. Prevents premature completion declarations.
Validates Zod schema parsing at boundaries. Tests valid/invalid inputs, schema evolution, refinement coverage, and compound state matrices (2^N optional field combinations).
This skill should be used when the user asks to "analyze experimental results", "generate results section", "statistical analysis of experiments", "compare model performance", "create results visualization", or mentions connecting experimental data to paper writing. Provides comprehensive guidance for analyzing ML/AI experimental results and generating paper-ready content.
Review code for conceptual errors, wrong assumptions, edge cases, and overcomplication; use after medium/large changes or when risk is high.