Solo-Stream is an interactive AI wizard that guides founders through the 6-layer STREAM framework to make high-stakes decisions with clarity and data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install solo-stream
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install solo-stream using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Solo-Stream Decision Framework?
Solo-Stream is a sophisticated decision-support tool built for the Openclaw Skills ecosystem. It leverages the proprietary STREAM framework—covering Epistemological, Temporal, Action, Stakes, Social, and Meta layers—to help founders and developers navigate complex uncertainty. By moving beyond simple pros and cons, this skill facilitates a deep-dive analysis into the knowledge base, time horizons, and risk-reward ratios of any dilemma.
This Openclaw Skills entry ensures that every major pivot or investment is backed by a structured, logical evaluation rather than just intuition. It acts as a digital advisor that challenges your assumptions and forces a rigorous examination of the second-order effects of your actions, providing a quantitative score for qualitative dilemmas.
Solo-Stream Decision Framework Use Cases
- Evaluating high-stakes business pivots or new product feature launches.
- Assessing the long-term impact of technical debt versus major architectural changes.
- Determining the social and reputational capital involved in specific partnerships.
- Analyzing personal career moves or lifestyle changes using the mortality filter.
- Generating a formal decision record for stakeholders or future retrospectives within the Openclaw Skills environment.
How Solo-Stream Decision Framework Works
- The user initiates the process by stating a dilemma or using keywords like "help me decide."
- The skill parses the decision and, if available, queries an internal knowledge base via MCP for the latest STREAM framework details.
- It conducts an interactive session, asking specific, probing questions for each of the six STREAM layers sequentially.
- Based on the user's input, it assigns a score (1-10) to each layer to quantify the decision's viability.
- It synthesizes a final verdict (GO, PAUSE, or NO-GO) and suggests immediate next actions based on the weighted results.
- Optionally, it records the entire analysis as a structured Markdown file in the project's decision journal directory.
Solo-Stream Decision Framework Setup
To get started with Solo-Stream via Openclaw Skills, ensure you have the necessary environment configured.
# Install the skill within your project directory
openclaw install solo-stream
# (Optional) Ensure the decisions directory exists to store your journals
mkdir -p docs/decisions/
Invoke the skill by asking your AI agent: "evaluate the decision to launch the beta version using the STREAM framework."
Solo-Stream Decision Framework Data Schema & Taxonomy
The skill generates a structured decision journal saved as a Markdown file to maintain a history of your thought process within Openclaw Skills.
| Field | Description |
|---|---|
| Decision Topic | The primary dilemma or action being analyzed. |
| Date | Timestamp of the analysis session. |
| STREAM Scores | A 1-10 rating for Epistemological, Temporal, Action, Stakes, Social, and Meta layers. |
| Recommendation | A clear Go/No-Go verdict based on the weighted average of all layers. |
| Next Actions | A prioritized list of tasks to mitigate risks or initiate the decision. |
Solo-Stream Decision Framework Advanced Features
- Integrated KB search for dynamic framework retrieval using MCP solograph integrations.
- Automatic decision journaling in docs/decisions/ for historical tracking and auditing.
- Weighted scoring system that identifies critical failure points in high-stakes scenarios.
- Multi-agent compatibility for collaborative decision-making sessions within the Openclaw Skills ecosystem.
SKILL.md
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