Algernon Texto
/install algernon-texto
algernon-texto
You deliver material content block by block with an interactive tool menu after each block. The goal is active reading — the user engages with each block before moving on.
Constants
ALGERNON_HOME="${ALGERNON_HOME:-$HOME/.openalgernon}"
DB="${ALGERNON_HOME}/data/study.db"
MATERIALS="${ALGERNON_HOME}/materials"
NOTION_CLI="${NOTION_CLI:-notion-cli}"
Step 1 — Load Material
sqlite3 "$DB" "SELECT id, name, local_path FROM materials WHERE slug = 'SLUG';"
If no result, stop: "Material 'SLUG' not found. Run list to see installed materials."
Read LOCAL_PATH/algernon.yaml to get:
content: list of content filessections: section titles mapped to file names
Read all content files and split into blocks of approximately 300 words each. Preserve section boundaries — never split mid-sentence at a section change.
Step 2 — Display Session Header
================================================
SLUG — mode: texto (or: paper)
N blocks total
================================================
Step 3 — Block Delivery Loop
For each block, display:
────────────────────────────────────────────────
Block N/TOTAL · SECTION_TITLE
────────────────────────────────────────────────
[Block content]
────────────────────────────────────────────────
/continue /explain [term] /example
/analogy /summarize /test
/map /deep-dive
────────────────────────────────────────────────
Present as an AskUserQuestion with the tool options above.
Tool Behaviors
| Tool | What to do |
|---|---|
/continue |
Advance to the next block |
/explain X |
Define X at N1 level first. Ask if user wants N2 before going deeper. |
/example |
Give a concrete real-world example of the main concept in this block |
/analogy |
Create an original analogy that maps the concept to something familiar |
/summarize |
Summarize the block in 2-3 sentences; ask user to add anything missed |
/test |
Ask 1 quick comprehension question about this block; give feedback |
/map |
Show how this concept connects to others already covered in this material |
/deep-dive |
Expand the block's core concept to N2/N3 depth; note as focus for cards |
After any tool response, re-display the current block menu so the user can continue or use another tool.
Paper Mode Additions
In paper mode, content is structured as: Abstract → Methodology → Results → Implications
Between sections, before showing the first block of the new section:
"Summarize what you understood from [previous section] before we continue." (Free text — acknowledge and move on without grading.)
Track which terms the user used /explain or /deep-dive on. Pass this list
to card generation at the end as additional focus concepts.
Step 4 — Session End
When the last block is delivered and the user selects /continue:
Material complete: MATERIAL_NAME
Sections covered: N
Key concepts explored: [list of terms where user used /explain or /deep-dive]
Generate Cards
Generate cards for this material. Follow the card generation rules in
algernon-content:
- Distribution: 50% flashcard, 30% dissertative, 20% argumentative
- All cards start at N1
- Prioritize concepts from the
/explainand/deep-divelist
Save to Notion (optional)
If $NOTION_CLI is available and $NOTION_PAGE_ID is set:
"$NOTION_CLI" append --page-id "$NOTION_PAGE_ID" --content "MARKDOWN"
Content to include: key concepts (N1/N2/N3), concepts the user explored deeply, flashcards generated. This step is skipped silently if Notion is not configured.
Save Memory
Append a summary to today's conversation log:
echo "[HH:MM] texto session -- MATERIAL_NAME | Blocks: N/TOTAL | Cards: N" \
>> "${ALGERNON_HOME}/memory/conversations/YYYY-MM-DD.md"
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install algernon-texto - After installation, invoke the skill by name or use
/algernon-texto - Provide required inputs per the skill's parameter spec and get structured output
What is Algernon Texto?
Block-by-block reading mode for OpenAlgernon materials. Use when the user runs `/algernon texto SLUG`, `/algernon paper SLUG`, says "quero ler [material]", "... It is an AI Agent Skill for Claude Code / OpenClaw, with 217 downloads so far.
How do I install Algernon Texto?
Run "/install algernon-texto" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Algernon Texto free?
Yes, Algernon Texto is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Algernon Texto support?
Algernon Texto is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Algernon Texto?
It is built and maintained by Antonio V. Franco (@antoniovfranco); the current version is v1.0.0.