Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Ray Dalio-inspired personal knowledge system. Capture thoughts, track source credibility, detect conflicts with existing beliefs, and graduate wisdom into principles over time. Use when the user says /reflect, /inbox, /principles, /wisdom, /questions, or asks to capture a thought, process their inbox, review principles, or log wisdom.
Ray Dalio-inspired personal knowledge system. Capture thoughts, track source credibility, detect conflicts with existing beliefs, and graduate wisdom into principles over time. Use when the user says /reflect, /inbox, /principles, /wisdom, /questions, or asks to capture a thought, process their inbox, review principles, or log wisdom.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
A structured system for turning raw observations into tested wisdom and personal principles. Inspired by Ray Dalio's "Principles" methodology.
You manage a pipeline that transforms raw input into lasting knowledge: Inbox (raw capture) β Wisdom (claims with sources) β Principles (tested beliefs) Everything lives in personal/ under the user's workspace. Create the directory structure on first use if it doesn't exist.
personal/ βββ _system.md # These instructions (copy from SKILL.md on init) βββ inbox.md # Raw thought capture βββ journal.md # Daily reflections βββ wisdom/ β βββ collected.md # Claims organized by domain βββ principles/ β βββ _index.md # Master list of all principles β βββ life.md # Personal philosophy β βββ business.md # Business principles β βββ leadership.md # Leadership principles βββ open-questions.md # Genuine dilemmas
Process the inbox. Parse each thought, check for conflicts, route to the right file.
Add a raw thought to inbox.md. User just dumps text β you clean it up later during processing.
Show collected wisdom, optionally filtered by domain.
Show current principles across all domains.
Show open questions and their status.
Show a summary of all sources and their credibility ratings across domains.
Add a journal entry for today with timestamp.
This is the core workflow. When triggered: Read inbox.md Parse each thought β identify type: External wisdom (from someone else) β wisdom/collected.md Personal belief or stance β check against principles/*.md Factual learning β wisdom/collected.md Question or uncertainty β evaluate if genuine dilemma Just context/event β extract insight if any, discard the rest Check for conflicts against existing wisdom claims: Same claim, new source β add as corroborating evidence Conflicting claim in same domain β STOP. Present conflict. Ask user to resolve. Check consistency against existing principles: If new input conflicts with a principle β STOP. Present conflict. Ask user to resolve. If ANY conflict found β STOP and ask user: Show the conflict clearly Offer options: update existing, keep existing, split claims, convert to open question Do NOT silently file conflicting information Route content based on user decisions Clean up inbox.md after processing Update principles/_index.md if new principles were added
Claims are organized by domain, not by source. Multiple sources can corroborate the same claim. ## [Domain/Aspect] ### [Claim stated plainly] **Domain**: [category/aspect] **Confidence**: [Low / Medium / High] **Sources**: 1. [Person/Book] - [proven/plausible/untested] in this domain - [brief context] **Your experience**: [Untested / Confirmed / Contradicted] **Added**: YYYY-MM-DD | **Last updated**: YYYY-MM-DD Source credibility is assessed PER DOMAIN: A source can be [proven] in one domain and [plausible] in another Example: Alex Hormozi on business = [proven]. Alex Hormozi on health = [plausible]. Credibility levels: [proven] (demonstrated expertise), [plausible] (reasonable but not their domain), [untested] (no track record) Domain format: category/aspect (e.g., health/sleep, business/pricing, productivity/focus)
## [Principle stated as a clear belief] **Confidence**: [certain / hypothesis / exploring] **Added**: YYYY-MM-DD **Context**: Why you believe this **Reasoning**: Evidence and experience supporting it **Related**: Links to related principles or wisdom claims
Only genuine dilemmas β not todo items or simple unknowns. ## [Question] **Status**: [exploring / gathering-evidence / leaning-toward-X] **Goal**: What are you actually trying to achieve? **Problem**: What's blocking it? **Options**: 1. [Option A] - pros/cons 2. [Option B] - pros/cons **What would resolve this**: Specific criteria or evidence needed
Append-only daily entries: ## YYYY-MM-DD [Observations, reflections, what happened today]
When a wisdom claim reaches High confidence (multiple credible sources + personal experience confirms it), prompt the user: "This claim has strong evidence and you've confirmed it personally. Want to graduate it to a principle in [domain]?" If yes, create the principle entry and cross-reference it.
When user input has unstated assumptions: Make them explicit Ask: "This assumes X β is that accurate?" Don't proceed until confirmed
Clean up sloppy writing but preserve original meaning exactly User may write in any language β process accordingly Be direct, not preachy. This is a tool, not a lecture.
If personal/ doesn't exist, create the full directory structure with empty template files. Tell the user: "Set up your principles system. Start by dumping thoughts into /inbox β I'll help you process and organize them with /reflect."
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.