consultancy-practices
Apply effective software quality consultancy practices. Use when consulting on QA strategy, advising development teams, or establishing sustainable quality workflows.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
529 skills found
Apply effective software quality consultancy practices. Use when consulting on QA strategy, advising development teams, or establishing sustainable quality workflows.
Method-driven planning workflow that intelligently decomposes tasks into structured plan.md files using zen-mcp tools, adapting to user clarity and automation needs.
Autonomous multi-team codebase improvement agent with specialized modes: narrow (goal-directed), broad (hypothesis-divergent), and sweep (quality-focused).
A specification-driven workflow management system for structured development lifecycle management, covering proposal, planning, implementation, and archival phases.
Verifies blockchain smart contract code against technical specifications, whitepapers, and design documents to ensure exact implementation compliance.
Audit, prune, and maintain vector memory for Clawdbot. Prevents token waste, clears junk data, and automates memory hygiene via LanceDB maintenance.
Expert development guide for the Jean Claude orchestration framework. Use for source code changes, architecture, testing, and debugging.
Automated security auditing for project dependencies. Scans package files (npm, pip, maven, etc.) for vulnerabilities, CVEs, and license issues, offering automated fix suggestions and integration for secure deployment workflows.
Train and manage neural networks in distributed E2B sandboxes using the Flow Nexus platform, supporting custom architectures like Transformers, LSTMs, and GANs.
Cross-platform content repurposing agent. Adapts a single source for Xiaohongshu, Zhihu, WeChat Official Accounts, and Douyin scripts with platform-native formatting, tone, and constraints.
Bootstrap CISO Assistant environments by guiding users through organizational structure setup, framework selection, and initial risk assessment configuration using MCP tools.
Persistent, semantic long-term memory for AI agents. Save, query, and retrieve cross-session dialogues, decisions, and multimodal context using semantic compression.