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horizon-track

Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=ruvnet-ruflo-plugins-ruflo-goals-skills-horizon-track-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name horizon-track description Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection argument-hint <objective-name> allowed-tools mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__memory_list mcp__plugin_ruflo-core_ruflo__memory_retrieve mcp__plugin_ruflo-core_ruflo__task_list mcp__plugin_ruflo-core_ruflo__task_summary mcp__plugin_ruflo-core_ruflo__progress_check mcp__plugin_ruflo-core_ruflo__progress_summary mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-store mcp__plugin_ruflo-core_ruflo__session_save mcp__plugin_ruflo-core_ruflo__session_restore Bash Read Write Horizon Track Track long-running objectives that span multiple sessions, days, or weeks. When to use When an objective is too large for a single session — multi-week features, research programs, migration projects, or any work that requires persistent progress tracking across conversations. Steps Initialize horizon — define the objective, target date, and 3-7 milestones Store horizon — call mcp__plugin_ruflo-core_ruflo__memory_store with namespace horizons and key horizon-[name] : { "objective" : "..." , "created" : "2026-04-28" , "targetDate" : "2026-05-15" , "milestones" : [ { "id" : "m1" , "name" : "..." , "criteria" : "..." , "status" : "pending" } , { "id" : "m2" , "name" : "..." , "criteria" : "..." , "status" : "pending" } ] , "currentMilestone" : "m1" , "sessions" : [ ] } Session check-in — at the start of each session: Recall horizon: mcp__plugin_ruflo-core_ruflo__memory_retrieve key horizon-[name] namespace horizons Review milestone status Assess drift (are we still on track?) Plan this session's contribution Work and record — as work progresses: Update milestone status Record session summary Store intermediate findings Session check-out — at the end of each session: Update horizon state in memory Record what was accomplished Note blockers or scope changes Estimate remaining effort Milestone completion — when a milestone is done: Verify completion criteria met Store learned patterns via mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-store Advance to next milestone Drift detection — flag when: Progress rate suggests target date will be missed Scope has grown beyond original definition Dependencies have changed Approach needs fundamental rethinking Memory namespaces horizons — active horizon definitions and state horizon-sessions — per-session summaries keyed by [horizon]-[date] horizon-learnings — patterns and insights discovered during the horizon
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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