菜单
Use when running or maintaining an Opportunity Solution Tree (OST) workflow with a lightweight graph store and CLI. Provides a single entry skill that routes to outcome, opportunity, solution, and assumption/experiment phases via progressive disclosure.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ForceInjection/domain-driven-design-skills --skill ost命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Conduct deep academic research for philosophy, neuroscience, cognitive science, and theoretical computer science (computability, complexity, AI theory, logic). Use when user asks to: research academic topics, find scholarly papers, conduct literature reviews, analyze citations, synthesize research findings, explore philosophical arguments, investigate consciousness/cognition, study computability/decidability/Turing machines, or analyze academic debates. Triggers on: 'research papers', 'literature review', 'academic sources', 'scholarly articles', 'philosophy of mind', 'computability theory', 'neuroscience studies', 'find papers on', 'what does the research say'.
Create clear action plans with steps, success criteria, and risk awareness. Use before implementing features, making changes, starting projects, or anytime you need a roadmap to success. Triggers on "plan this", "how should we approach", "what's the strategy", "steps to complete", or when facing complex multi-step work.
Add keyboard navigation to a feature using CommandRegistryService. Use when implementing keyboard shortcuts, vim-style navigation, or hotkeys for a page or component.
基于 SOC 职业分类
正在显示 SKILL.md
| name | ost |
| description | Use when running or maintaining an Opportunity Solution Tree (OST) workflow with a lightweight graph store and CLI. Provides a single entry skill that routes to outcome, opportunity, solution, and assumption/experiment phases via progressive disclosure. |
Run a full Opportunity Solution Tree workflow from a single skill, backed by a lightweight graph database and CLI.
Goal: Start a session, pick a workspace, and select or create an outcome.
.agr/ost.db is missing, initialize it:
uv run python scripts/ost.py init --path .agr/ost.dbuv run python scripts/ost.py workspace listuv run python scripts/ost.py workspace create \"<name>\"uv run python scripts/ost.py outcome list --workspace <name>uv run python scripts/ost.py outcome add --workspace <name> \"<title>\"references/outcomes.mdreferences/opportunities.mdreferences/solutions.mdreferences/assumptions.mdUse a lightweight graph DB at .agr/ost.db with multi-workspace support.
The CLI manages nodes and edges; do not edit DB files manually.
Use the CLI to read/write the OST graph. The CLI is expected to live in this skill’s scripts/ directory and be run via uv run.
Commands (intended):
uv run python scripts/ost.py init --path .agr/ost.dbuv run python scripts/ost.py workspace listuv run python scripts/ost.py workspace create "<name>"uv run python scripts/ost.py outcome list --workspace <name>uv run python scripts/ost.py outcome add --workspace <name> "<title>"uv run python scripts/ost.py opportunity add --outcome <id> "<title>"uv run python scripts/ost.py solution add --opportunity <id> "<title>"uv run python scripts/ost.py assumption add --solution <id> "<title>"uv run python scripts/ost.py show --outcome <id>If the CLI is not yet implemented, document the intended command and proceed with non-destructive guidance only.
## OST Session
### Selected Workspace
- Name: ...
### Selected Outcome
- ID: ...
- Title: ...
### Next Action
- [What the user wants to do next]
### Next Step
- Load the relevant phase reference file
.agr/ost.db directly.