100Thieves-team
Official@100Thieves-team
100Thieves-team provides product-domain expertise for algorithm-problem-solving platforms plus QA strategy, DDD modeling, IaC scaffolding, and accessibility testing skills.
Agent Skills by 100Thieves-team
Showing 36 vetted skills indexed across 1 GitHub repositories.
100Thieves-teamaps-algorithm-concept-taxonomy
Designs concept taxonomies, prerequisite maps, and difficulty dimensions for algorithm-problem-solving products.
100Thieves-teamaps-problem-solving-lifecycle
Maps solver behavior across the algorithm problem-solving lifecycle into product requirements and MVP scope.
100Thieves-teamaps-learning-retention
Defines learning-state models, mastery criteria, and spaced-repetition review loops for algorithm practice products.
100Thieves-teamaps-domain-architect
Defines product skeletons, subdomain relationships, and MVP boundaries for algorithm problem solving products.
100Thieves-teamaps-legal-policy-content-rights
Identifies copyright, privacy, scraping, and integrity risks for algorithm-problem-solving products.
100Thieves-teamaps-explanation-editorial
Designs hint ladders, editorials, and reveal policies for algorithm learning platforms.
100Thieves-teamaps-engineering-integration
Translates algorithm-judge product decisions into integration, reliability, and MVP scope requirements.
100Thieves-teamaps-judge-submission
Defines product requirements for submission, verdict, and external judge integration in algorithm-problem-solving products.
100Thieves-teamaps-product-metrics-operations
Defines product metrics, event taxonomies, and operational health signals for algorithm learning platforms.
100Thieves-teamaps-study-group-social
Defines product requirements for study-group and social-learning features in algorithm-problem-solving products.
100Thieves-teamaps-ai-assistance-integrity
Designs AI hint, debug, and review features for algorithm learning platforms with integrity guardrails.
100Thieves-teamaps-practice-recommendation
Defines problem-recommendation requirements and practice logic for algorithm-problem-solving products.
100Thieves-teamaps-assessment-contest
Defines mode rules, fairness constraints, and score semantics for algorithm assessment and contest features.
100Thieves-teamdockerfile-generator
Generate multi-stage Dockerfiles and .dockerignore files with security hardening and validation.
100Thieves-teamk8s-yaml-generator
Generates Kubernetes manifests for Deployments, Services, ConfigMaps, and CRDs with mandatory validation.
100Thieves-teamterraform-generator
Generate Terraform HCL configurations with validation, security scanning, and provider documentation lookup.
100Thieves-teamgithub-actions-generator
Generate GitHub Actions workflows, custom actions, and reusable CI/CD pipelines with validation.
100Thieves-teamrisk-based-testing
Generates a scored risk matrix and heatmap that maps test coverage to business impact and probability.
100Thieves-teamai-bug-triage
Classifies and deduplicates CI test failures using deterministic fingerprinting and LLM ticket generation.
100Thieves-teamrelease-readiness
Validates release readiness with evidence-based go/no-go checklists, smoke tests, staged rollouts, and rollback procedures.
100Thieves-teamtest-strategy
Generate a multi-quarter QA strategy document with risk matrices, pyramid analysis, and quality gates.
100Thieves-teamspark-engineer
Writes and optimizes Apache Spark jobs, DataFrame pipelines, and distributed data processing configurations.
100Thieves-teamsql-pro
Optimizes SQL queries, designs schemas, and analyzes execution plans across database dialects.
100Thieves-teama11y-playwright-testing
Automates WCAG 2.1 AA accessibility testing with Playwright, TypeScript, and axe-core.
Frequently Asked Questions About 100Thieves-team
FAQPage SchemaWhat tasks can I accomplish with 100Thieves-team's skills?▼
You can structure an algorithm-problem-solving product's concept taxonomy, learning loops, recommendation logic, judge integration, and integrity policies; plus generate Dockerfiles, Kubernetes YAML, Terraform, GitHub Actions pipelines, run risk-based testing, DDD modeling, SQL optimization, Spark jobs, and Playwright accessibility and E2E tests.
Who are these skills designed for?▼
Product planners and engineers building Baekjoon/LeetCode-style judge or learning platforms, QA leads defining test strategy and release readiness, backend engineers applying DDD aggregates and bounded contexts, and frontend teams running accessibility audits and Playwright test suites.
Do the APS skills solve algorithm problems or debug submissions?▼
No. Every APS skill explicitly excludes solving algorithm problems, writing competitive-programming code, or debugging user submissions. They produce product requirements, domain distinctions, MVP scope boundaries, metrics, and risk registers in planner-friendly language.
What licensing applies to these skills?▼
Several skills including risk-based-testing, ai-bug-triage, release-readiness, test-strategy, spark-engineer, and sql-pro carry MIT licenses. The DDD and APS skills list no explicit license in their frontmatter, so confirm terms with the registry before redistribution.
What prerequisites or dependencies do the testing skills require?▼
The a11y-playwright-testing and playwright-e2e-testing skills require Playwright (@playwright/test) with TypeScript, and accessibility checks use axe-core targeting WCAG 2.1 Level AA. The api-testing skill covers Playwright's request fixture and REST Assured on Java 21+.