Test strategy and exploratory charter — risk-based coverage and edge-case hunting.
Skills in this repository
poly-gents/syncolab-skills - Page 8
SkillsMP has collected 321 skills from poly-gents/syncolab-skills. Open a skill to review its source and details.
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Structured bug reporting and triage — repro, environment, expected vs actual, severity.
Land-and-deploy discipline — merge, deploy sequence, verification, and rollback readiness.
Release documentation — user-facing notes, internal runbooks, and version narrative.
Facilitation pattern for sprint or weekly retros — safety, themes, experiments, and follow-through.
Orchestrates a staged review — strategy, design intent, engineering, and DX — with merged findings.
Independent challenge of a plan or review — assumptions, blind spots, and devil’s advocate arguments.
Security and abuse review using STRIDE-style and OWASP-style lenses on the plan and surfaces.
Shipping checklist — PR quality, CI, risk, and communication for merge and release.
Automates Slack messages, channels, search, reactions, and threads via Rube MCP (Composio). Use after RUBE_SEARCH_TOOLS and an ACTIVE Slack workspace connection.
Runs Snyk dependency and code security scans, prioritizes findings by severity and exploitability, and proposes minimal-breakage remediations. Use when auditing vulnerabilities or validating fixes.
Recommend knowledge base articles to resolve issues
Identify code smells and propose improvements
Flag stale content and suggest improvements
Capture and summarize key points from client conversations
Keep documentation aligned with code changes
Guides Syncolab Cognitive Memory Layer (CML)—Qdrant + Mem0 composite, tenant scope, REST memory endpoints, and TS agent recall/persist. Use for long-term memory hydration and external runtime memory_layer contracts.
Searches and reads Syncolab Living Docs (SKS) and proposes human-reviewed patches via sks_docs_* tools. Use for authoritative platform docs, internal/external facets, and minimal doc drift fixes.
Transform data findings into narrative insights
Use when implementing any feature or bugfix, before writing implementation code
Run tests and systematically fix all failing tests using smart error grouping. Use when user asks to fix failing tests, mentions test failures, runs test suite and failures occur, or requests to make tests pass.
Jest testing patterns, factory functions, mocking strategies, and TDD workflow. Use when writing unit tests, creating test factories, or following TDD red-green-refactor cycle.
Performs STRIDE-style threat modeling on features and systems with ranked mitigations and residual risk. Use before shipping new surfaces, auth flows, or third-party integrations.
Monitor and coordinate follow-up actions for client accounts
Identify, escalate, and resolve delivery blockers
Monitor outstanding invoices and match to purchase orders
Monitor opportunity progress and pipeline health
Maintain and prioritize the security risk register
Real-time speech-to-text transcription of calls
Summarize, prioritize, and route incoming email threads
Optimize slow database queries for performance
Optimize website metadata and structure for search
TypeScript and JavaScript expert with deep knowledge of type-level programming, performance optimization, monorepo management, migration strategies, and modern tooling. Use PROACTIVELY for any TypeScript/JavaScript issues including complex type gymnastics,…
Publish content updates to CMS-powered websites
Manage upstream Terraform patch stacks in provider repos.
Runs semantic RAG and vector search over indexed knowledge via Vectorize MCP tools discovered at runtime. Use for memory retrieval, knowledge-base lookup, and evidence-backed answers from chunks.
Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. This skill covers…
Create, maintain, and improve repository documentation that helps coding agents understand the project, follow engineering standards, make safe changes, and work consistently across tools such as Claude Code, Cursor, GitHub Copilot, Codex, and other AI coding…
Create end-to-end and visual regression tests
Use when you have a spec or requirements for a multi-step task, before touching code