374 skills · sorted by relevance
Ensures tenant isolation at query and policy level using Row Level Security, automated testing, and security audits. Prevents data leakage between tenants. Use for "multi-tenancy", "tenant isolation", "RLS", or "data security".
The English summary is being prepared. Showing the original description.
Run installation, integration, and end-to-end tests that follow real user actions in remote environments or Docker. Choose an appropriate isolated environment, inspect failures, record execution details, and clean up resources after testing.
Plan and verify security controls for AI agents that read untrusted content and use tools. Review permissions, file boundaries, network destinations, and credentials, then test that rejected actions leave no unintended changes.
Guide Swift 6.2 migration and concurrency design using MainActor, which keeps related work on the main actor. Address data-race compiler errors, protocol conformance, and explicit background execution for heavy computations through @concurrent.
Build end-to-end tests that operate Windows desktop apps through pywinauto and Windows UI Automation, an interface for accessing screen controls. Covers stable element selection, waits, failure screenshots, test isolation, and CI setup for native applications.
Coordinate multiple AI agents with assigned owners, clear work boundaries, and a Kanban board that tracks progress. Organize separate branches or worktrees, collect test and handoff evidence, and define checks that must pass before combining their work.
Write and run Perl tests with Test2::V0 or Test::More, replace external dependencies with controlled test substitutes, and measure coverage—the code exercised by tests. Guidance covers test-first development, failure diagnosis, and migration between testing modules.
Review safeguards for AI agents authorized to sign or send transactions. Cover malicious instructions hidden in external data, spending caps, pre-send simulation, automatic stop conditions, protected transaction routing, and private-key handling through layered security checks.
Review multi-step forms to find information users must enter more than once. Suggest automatic filling, reuse options, and preserving data between steps, while explaining relevant accessibility requirements and exceptions for security or validity.
Plan security controls for LLM applications and AI agents, covering malicious instructions, data leakage, model tampering, and API access. Includes guidance and code examples for filtering outputs, enforcing permissions, isolating networks, and recording audit events.
Guides Kubernetes security configuration with network restrictions, Pod execution rules, and role-based access control. Use its configuration examples to separate workloads, limit permissions, and enforce deployment requirements across a cluster.
Plan microservices by defining service responsibilities, communication methods, and data ownership. Use patterns for gradual migration, distributed transactions, and failure isolation to design systems made of independently responsible services.
Check Codewhale release readiness through ordered tests, builds, version checks, and manual terminal checks. Record command results and observed behavior, including responsiveness, route isolation, and follow-up input handling, while explicitly identifying any skipped checks.
Build systems that use Pinecone to find documents for AI answers or retain agent memories across sessions. Guides index setup, data loading, meaning-based and keyword search, memory separation, and end-to-end checks.
Write C# unit tests with NUnit using clear naming, focused assertions, and independent test cases. Covers project setup, testing with multiple input values, exception checks, and replacing dependencies with mocks to test components in isolation.
Assess whether a container can escape its isolation and reach the host during an authorized security test. Review privileges, shared mounts, Docker socket exposure, and runC vulnerabilities, then document demonstrated impact and remediation.
Respond to security incidents across AWS, Azure, and GCP by investigating audit logs, containing compromised identities, isolating resources, and preserving evidence. Organize recovery and follow-up security measures for credential leaks, unauthorized permission changes, and attacks spanning cloud services.
Connect messaging channels to agent groups and choose whether they share conversations, workspace, or neither. Use it to add chats, change routing, review existing connections, and configure when agents respond.
Investigate errors and unexpected behavior through reproduction, isolation, diagnosis, and a proposed fix. Receive a structured report covering the root cause, necessary code or configuration changes, and suggested tests to prevent the issue from returning.
Create, update, and debug Docker-based end-to-end tests for the Composio CLI. Covers running the executable, keeping test data separate, checking command output, and maintaining package manifests within the CLI test suite.
Manage parallel feature development with Git worktrees, separate working folders for different branches. Assign distinct ports, copy environment files, optionally install dependencies, and check for uncommitted changes and merged branches before removing outdated worktrees.
Evaluate a strategic choice through multiple executive roles, each forming an independent view before discussion. Produce a board memo with recommendations, votes, dissent, risks, and success or stop conditions for the founder's decision.
Coordinate AI agents acting as company executives through shared question and response formats. The skill defines limits on repeated calls, independent analysis, peer checks, conflict reporting, and decision records to support cross-functional reviews and board meetings.
Delegate research, coding, and testing from Claude Code to opencode workers. Run independent tasks in parallel with separate Git working directories, combine findings, track token use, and compare solo execution with coordinated workers.