NextFromKnowledge is a strategic action layer that transforms static research, notes, and meeting summaries into decisive next moves and execution plans.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install next-from-knowledge
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 next-from-knowledge 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 NextFromKnowledge?
NextFromKnowledge functions as a knowledge chief of staff, designed to bridge the gap between information collection and actual progress. While other tools focus on connecting or surfacing data, this skill specializes in answering the question: "Now what?" It distills complex contexts into high-leverage actions, helping users move past analysis paralysis and into execution.
As part of the Openclaw Skills ecosystem, it acts as the decisive layer above your knowledge base. It avoids generic summaries in favor of actionable outputs like staged 7-day plans, minimum viable experiments, or clear decision memos with logic-based rationales.
NextFromKnowledge Use Cases
- Converting messy meeting transcripts or interview notes into prioritized action items.
- Moving from a collection of research memos to a structured 30-day execution plan.
- Resolving ambiguity when presented with multiple ideas or options by selecting the most viable path.
- Identifying the absolute minimum information required to unblock a high-stakes decision.
- Designing small-scale experiments to test hypotheses derived from a knowledge graph.
How NextFromKnowledge Works
- Target Clarification: The skill first identifies the user's desired outcome—whether they need a single move, a comprehensive plan, or a definitive decision.
- Knowledge Distillation: It filters through input data to separate confirmed facts and repeated signals from assumptions and unknowns.
- Leverage Identification: The AI analyzes which specific action will unlock the most significant momentum or learning with the least effort.
- Action Compression: High-value moves are compressed into a concise recommendation, such as a ranked list or a staged order of operations.
- Gap Analysis: It identifies only the critical missing facts that would materially change the recommended course of action.
NextFromKnowledge Setup
To integrate this skill into your local environment, use the following command:
# Install the skill via the Openclaw Skills manager
clawdbot install next-from-knowledge
Ensure your environment is running on Linux, macOS, or Windows. No additional binary dependencies are required for the base installation.
NextFromKnowledge Data Schema & Taxonomy
NextFromKnowledge organizes information based on actionable taxonomy rather than just topic tags:
| Data Category | Description |
|---|---|
| Working Truths | Confirmed facts and constraints derived from the input knowledge. |
| Action Frames | The chosen output structure (Action, Plan, Decision, or Experiment). |
| Leverage Points | Identified signals that justify the priority of a specific recommendation. |
| Blocking Gaps | Critical unknowns that prevent further commitment or change the direction. |
| Staged Plans | Chronological sequences of tasks (e.g., Now, Next, Later). |
NextFromKnowledge Advanced Features
- Multi-Mode Execution: Toggle between Next Action, Action Plan, Decision, Experiment, or Gap Check modes based on the specific need.
- Knowledge Skill Handoff: Seamlessly processes outputs from other Openclaw Skills like LinkMind or Knowledge Connector.
- Decision Guardrails: Built-in logic to prevent "research loops" by forcing a recommendation when information is sufficient.
- Strategic Rationale: Every recommendation includes a "Why This Comes First" explanation to provide transparency into the AI's logic.
- Uncertainty Calibration: Explicitly distinguishes between observed facts and inference to manage high-risk decisions.
SKILL.md
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