omk-kimi-runtime
Kimi K2.6 runtime policy for thinking mode, no-thinking research mode, tool use, context budget, and long-horizon coding tasks.
git clone --depth 1 https://github.com/dmae97/open-multi-agent-kit /tmp/omk-kimi-runtime && cp -r /tmp/omk-kimi-runtime/templates/skills/kimi/omk-kimi-runtime ~/.claude/skills/omk-kimi-runtimeSKILL.md
## Runtime Policy Use this skill when running OMK workflows on Kimi K2.6. ## Mode Selection - Use thinking mode for architecture, coding, debugging, review, planning, and multi-step tool work. - Use no-thinking mode for fast summarization, commit messages, simple classification, and web-search-heavy research. - Do not expose temperature/top_p tuning as user-facing options. - Prefer structured task execution over one-shot answers. ## Tool Use - Keep tool calls scoped to the current task. - Before writing files, inspect nearby code and project conventions. - For web-heavy work, use a no-thinking research profile when available. - For multimodal UI/debug work, inspect screenshots, traces, or video before proposing code. ## Okabe + D-Mail - Generated OMK agents should inherit the Okabe-compatible base, not plain `default`, so `SendDMail` is available while custom `--agent-file` configs remain supported. - Use `SendDMail` for checkpoint rollback scenarios: risky refactors, dependency migrations, context compaction, or long-running work where a future recovery note prevents lost state. - Treat D-Mail as context insurance, not a substitute for tests, git diff review, or project-local graph durable memory. ## Context Policy - Never load the whole repository just because Kimi supports long context. - First build a file map. - Then read only relevant files. - Store stable facts through project-local graph memory; `.omk/memory/` is only a local mirror/cache. - Use Okabe/D-Mail checkpoints before risky context transitions. - Compact or summarize before context pressure becomes high. ## Completion Rule A task is not complete until the required quality gates pass: 1. lint 2. typecheck 3. tests 4. build, if available 5. diff review
Persistent memory, recall, session replay, and memory-governance workflow adapted from rohitg00/agentmemory for OMK. Use when setting up agent memory, deciding what to remember, importing/replaying sessions, reducing repeated context, or auditing memory safety.
Minimal, goal-driven, surgical coding workflow adapted from forrestchang/andrej-karpathy-skills for OMK. Use for coding, refactoring, debugging, and review tasks where assumptions, overengineering, or broad edits could cause regressions.
Legal workflow drafting, triage, review, research planning, legal operations, law-student or clinic support, and legal AI governance adapted from Anthropic claude-for-legal. Use for commercial, privacy, product, corporate, employment, regulatory, AI governance, IP, litigation, legal-clinic, and law-student tasks. Draft-only; attorney review and current source verification required.
Real-engineering alignment, shared-language, TDD, diagnosis, and architecture-review workflow adapted from mattpocock/skills for OMK. Use before non-trivial implementation, ambiguous product work, debugging loops, test-first changes, or codebase architecture cleanup.
Managed-agent teamwork, issue assignment, progress tracking, reusable-skill compounding, and handoff workflow adapted from multica-ai/multica for OMK. Use when coordinating multiple agents, converting work into agent-ready tasks, tracking blockers, or turning repeated solutions into skills.
Review AdaptOrch, OMK, and similar DAG multi-agent orchestration frameworks. Use when assessing DAG node responsibility, dependency edges, worker write authority, fallback/retry/timeout/evidence gates, review/merge boundaries, or reproducible decision traces.
Optional read-only OMK web/social/video research workflow inspired by Panniantong/Agent-Reach. Use for web search, current social evidence, YouTube/Bilibili/Reddit/Twitter/X/RSS/GitHub public research, and Agent Reach availability checks without auto-installing or collecting credentials.
Backend API review for NestJS, Express, FastAPI, database access, validation, auth, error handling, and API contracts.