retrospective-facilitator
Generate retrospective formats and analyze improvement actions
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Generate retrospective formats and analyze improvement actions
Generate roadmap visualizations and planning artifacts for product planning
Measure, categorize, and prioritize technical debt for migration planning and remediation
Generate and validate user stories from various inputs including requirements, research, and feature descriptions. Apply INVEST criteria validation, create acceptance criteria, split large stories, and convert between story formats.
文件管理技能。用于创建、移动、复制、删除文件和文件夹,整理目录结构。当用户需要管理文件、整理文件夹或批量处理文件时使用。
Clarify requirements before implementing. Use when serious doubts arise.
Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task milestone completed, (4) work session ending, (5) user says 'save state', 'create handoff', 'I need to pause', 'context is getting full', (6) resuming work with 'load handoff', 'resume from', 'continue where we left off'. Proactively suggests handoffs after substantial work (multiple file edits, complex debugging, architecture decisions). Solves long-running agent context exhaustion by enabling fresh agents to continue with zero ambiguity.
Document lessons learned after completing work, especially when the user corrected planning documents or implementation. Creates and maintains a persistent lessons file in .ai/memory/ that future agents read at session start.
Use when the user asks to create, draft, prepare, or publish a GitHub issue for the rocketmq-rust project — bugs, features, enhancements, refactors, docs, unit tests, CI, runtime-model, broker, namesrv, client, store, dashboard, architecture, or performance work — especially when the issue must preserve real ISSUE_TEMPLATE fields, exact title prefix including template emoji, aligned labels, actionable engineering tasks, and no leaked local filesystem paths.
Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whenever the user mentions a goal, objective, KPI, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.