Agent-Skills.md

Agent Skills: OST

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.

UncategorizedID: kasperjunge/agent-resources/ost

Repository

kasperjunge/agent-resources
kasperjungeLicense: MIT
39730

Install this agent skill to your local

pnpm dlx add-skill https://github.com/kasperjunge/agent-resources/tree/HEAD/.opencode/skill/ost

Skill Files

Browse the full folder contents for ost.

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.opencode/skill/ost/SKILL.md

Skill Metadata

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.

OST

Run a full Opportunity Solution Tree workflow from a single skill, backed by a lightweight graph database and CLI.

Entry Flow (Minimize File Loading)

Goal: Start a session, pick a workspace, and select or create an outcome.

  1. Ensure DB exists
  • If .agr/ost.db is missing, initialize it:
    • uv run python scripts/ost.py init --path .agr/ost.db
  1. Select workspace
  • List workspaces:
    • uv run python scripts/ost.py workspace list
  • If needed, create one:
    • uv run python scripts/ost.py workspace create \"<name>\"
  1. Select outcome
  • List outcomes:
    • uv run python scripts/ost.py outcome list --workspace <name>
  • If needed, create one:
    • uv run python scripts/ost.py outcome add --workspace <name> \"<title>\"
  1. Route to phase (load only the relevant file)
  • Outcomes: references/outcomes.md
  • Opportunities: references/opportunities.md
  • Solutions: references/solutions.md
  • Assumptions/Experiments: references/assumptions.md

Data Model + Storage

Use a lightweight graph DB at .agr/ost.db with multi-workspace support. The CLI manages nodes and edges; do not edit DB files manually.

CLI

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.db
  • uv run python scripts/ost.py workspace list
  • uv 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.

Output Format

## 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

What NOT to Do

  • Do NOT edit .agr/ost.db directly.
  • Do NOT invent node IDs.
  • Do NOT run destructive commands without explicit user intent.