dot-skill
Unified meta-skill engine for distilling colleague, relationship, or celebrity characters into reusable Skills. | 统一的 meta-skill 引擎,把 colleague、relationship、celebrity 三类对象蒸馏成可复用 Skill。
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Unified meta-skill engine for distilling colleague, relationship, or celebrity characters into reusable Skills. | 统一的 meta-skill 引擎,把 colleague、relationship、celebrity 三类对象蒸馏成可复用 Skill。
Install the full dsh-mnemon integration from the Mnemon repository.
The execution maze for DeepSeek Harness agents: see how the agent actually worked — main path, detours and backtracks on one timeline, with data tracks, deterministic analysis, and multi-session comparison
Free OpenCode Zen models for DeepSeek Harness (DSH): native dsh-llm adapter plugin, no API key.
Unified DeepSeek Harness plugin: role-based subagent routing + per-agent evolution — prefercmd/memory as knowledge allow/deny lists, so repeated tasks start from proven commands and save tokens
On-demand vision for text-only DSH sessions: images become markers, and a vision_describe tool sends only image + question to an OpenAI-compatible vision model
Real-time chain-of-thought trajectory profiling for DeepSeek Harness: live wording indicators, profile-family judgment, and per-session measurement records
ChangeProof - change-relevance + evidence-freshness quality plugin for DeepSeek Harness (DSH)
Humanize Mode for DeepSeek Harness — the humanfia flow philosophy (draft → check → lock → review → run/resume, SHA-256 lock identity, HMAC review gate, event-sourced resumability) as an agent preset. Installing this bundle auto-installs the preset into the DSH preset root.
面向 DeepSeek Harness Standard 的 DeepSeek V4 首轮 RL 锚定插件,promotion 后恢复完整能力与 Skill。
Native continuity recovery for long-running DeepSeek Harness agents
AiFP Cognitive Memory — persistent memory MCP server for AI assistants. Chinese-first retrieval with causal chains, Hebbian associations and graph diffusion. 记忆感知系统
Project Memory gives coding agents a single, trustworthy memory for a software repository — so they stop re-learning the same facts and stop writing conflicting "memory" files.
Code reference & reuse-survey plugin for DeepSeek Harness (DSH): search local code + GitHub/npm before building, evaluate reuse vs rewrite, ask the user, architecture-level reuse. 开发前检索本地与开源可复用代码并询问用户的复用调查插件。
DeepSeek Harness 批量并行子 Agent 调度插件:swarm_batch 工具(Kimi Code Swarm 模式移植)+ /swarm 命令 + 聊天内实时进度条。
Explain failed DeepSeek Harness agent runs locally, then produce a redacted recovery plan. No model required.
Popper: a falsification-driven correction loop for agent sessions — claim commitment, gate falsification, and mutually exclusive hypothesis revision, with an append-only evidence ledger
Real Red Alert 2 AI battlefield for DeepSeek Harness with fog-safe control and post-match learning
Minimal prompt x full PTC tools for DeepSeek Harness - aligned with the Project2 we/let's trajectory (Minimal 99/96).
Workflow-net runtime for DeepSeek Harness: resource-aware concurrency, native loops and fan-out, static soundness checking before a plan becomes durable, and process mining over its own event log.
Unified DeepSeek Harness plugin: role-based subagent routing + per-agent evolution — prefercmd/memory as knowledge allow/deny lists, so repeated tasks start from proven commands and save tokens
Forgetting engine for AI agents — memory TTL, decay, eviction, audit. The opposite of memory programming.
TeamFlow 团队研发流水线(TypeScript):需求→PRD→设计→架构→技术方案→并行开发→QA→验收;backlog 持久化 + 断点续跑 + 完成汇报 + 防假交付;Web 团队工作台(conversation.view tab + 拖拽看板)
On-demand image generation for DeepSeek Harness (DSH): a generate_image tool that calls your own OpenAI-compatible image URL + API key and delivers the image into the session