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Converts webpages, articles, or documents into study flashcards that you can review with spaced repetition
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
A Zo Computer skill for adding Humation avatars to agent products. It covers installing Humation npm packages into target projects, React integration, Core SVG rendering, static SVG generation, browser ESM usage in zo.space page routes, and legacy Humation SVG API compatibility.
Bootstraps the Clarion Intelligence System on Zo Computer. Run this once after installing — clones the source repo, installs the ai_buffett_zo Python library, creates the workspace data tree under /home/workspace/clarion/ (auto-detected on Zo), auto-installs all nine sibling clarion-* skills (regime-check, sec-research, single-stock-eval, expected-return-calc, value-screener, thesis-write, thesis-monitor, watchlist-update, living-letter-update) under /home/workspace/Skills/, and registers the sec-indexer background service. Idempotent (safe to re-run). The only manual step is one batched human checkpoint near the end (SEC EDGAR name + email, and creating the ZO_API_KEY secret). Persona routing for Clarion is opt-in via a separate prompt after install ("install Clarion personas and routing rules"). Use when the user asks to "set up Clarion" or "install Clarion".
Monitor the health of every active thesis in ~/clarion/theses/. For each one — refresh price, recompute Risk Environment from the current regime, check kill conditions (read from the file's status column), aggregate to an Overall score, recommend an action (EXIT / REDUCE / HOLD / ADD), and write the updated scores + history back to the thesis file. Produces a dashboard surfacing what needs attention. Use when the user asks "monitor my theses", "thesis health check", "any kill conditions triggered?", "what's the action on <TICKER>", or as part of a daily / weekly review. Requires clarion-setup to have been run.
Scaffold a new thesis document for a ticker in the canonical Clarion thesis format. Pre-fills the YAML metadata block, opens the History with an OPENED entry, and (when filings are indexed) seeds the "Why I Believe It" evidence section with draft citations from the Buffett-lens search. The user fills in the actual prose. Outputs a markdown file at ~/clarion/theses/{TICKER}.md. Use when the user says "write a thesis on <TICKER>", "scaffold a thesis for <TICKER>", "draft a thesis for <TICKER>", or after clarion-single-stock-eval returns an Add verdict and the user wants to formalize the position. Requires clarion-setup to have been run.
Compute the equity-vs-T-bill allocation for the Value bucket (50% of portfolio). Implements the Expected-Return Framework — looks up the historical 10-year forward return from the S&P 500 Shiller CAPE, computes the regime-adjusted hurdle (rf + regime premium), and produces a 5-tier verdict (STRONG EQUITY / LEAN EQUITY / NEUTRAL / LEAN T-BILLS / MAXIMUM T-BILLS) with recommended Value-bucket equity/T-bill split. Use when the user asks "should I be in stocks or bonds right now?", "what's the equity hurdle?", "is the market overvalued?", "what's the right Value bucket allocation?", or before adding any new equity to the Value bucket. Requires clarion-setup to have been run.
Update the annual investor letter at ~/clarion/letters/{YEAR}-letter.md with a new quarterly section, or finalize it at year-end. Auto-fills the system-deterministic parts (regime snapshot, thesis health table, portfolio bucket positions from active theses); marks the narrative-heavy parts (What We Did, What We Learned, Year in Context, Mistakes & Lessons, Looking Ahead) as [TODO] for the user to write with chat assistance. Append-only — refuses to overwrite an already-populated quarter without --force. Use when the user asks "update the letter", "quarterly letter update", "finalize the letter", or "write the {Q1/Q2/Q3/Q4} entry". Requires clarion-setup to have been run.
| name | add-flashcards |
| description | Converts webpages, articles, or documents into study flashcards that you can review with spaced repetition |
| compatibility | Requires hashcards-setup skill with flashcards at /home/workspace/flashcards/ |
| metadata | {"author":"rc2.zo.computer","category":"Community","display-name":"Generate flashcards from a webpage or document","emoji":"📇"} |
This file will be included in a user request. When it is, Zo should interpret this as a task to generate flashcards from source material (URL, document, or notes) and save them to /home/workspace/flashcards/. Zo should not ask for confirmation to continue if it has the source material.
This command converts source material (webpages, articles, documents, notes) into effective flashcards in hashcards format. The cards are saved to your flashcards directory and will appear in your SRS reviews.
Prerequisites: Set up hashcards-setup first so /home/workspace/flashcards/ exists.
Generate SRS flashcards from any source material and add them to your hashcards collection.
/home/workspace/flashcards/[topic].md)/home/workspace/flashcards/[topic].mdWhen converting material into hashcards, create excellent, learnable cards:
Principles for effective cards:
Further reading:
For poems, create line-by-line cloze deletions where each card shows the previous line as context:
# The New Colossus
<!-- Source: https://www.poetryfoundation.org/poems/46550/the-new-colossus -->
Q: _Beginning_, …
A: Not like the brazen giant of Greek fame,
Q: Not like the brazen giant of Greek fame, / …
A: With conquering limbs astride from land to land;
Q: With conquering limbs astride from land to land; / …
A: Here at our sea-washed, sunset gates shall stand
This leverages memory for what comes before, making recall progressively easier while building the sequence.
Extract keywords and transition conditions, not rote steps. Ask "what triggers step X?" and "what happens after Y?"
Use multiple lenses:
Create/append to markdown files in /home/workspace/flashcards/:
# E. coli Cell Biology
<!-- Source: https://book.bionumbers.org/how-big-is-an-e-coli-cell/ -->
Q: What is the typical volume of an E. coli cell?
A: ~1 μm³ (cubic micrometer)
Q: What shape is a typical E. coli cell?
A: Rod-shaped (cylindrical)
For cloze deletions, use the C: format:
C: The typical E. coli cell is [rod-shaped] with a volume of [~1 μm³].
After running this command, Zo will have created flashcards from your source material and saved them to /home/workspace/flashcards/. The cards will appear in your next review session at https://srs-<your-username>.zocomputer.io.