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"
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install algernon-texto - 安装完成后,直接呼叫该 Skill 的名称或使用
/algernon-texto触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Algernon Texto 是什么?
Block-by-block reading mode for OpenAlgernon materials. Use when the user runs `/algernon texto SLUG`, `/algernon paper SLUG`, says "quero ler [material]", "... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 217 次。
如何安装 Algernon Texto?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install algernon-texto」即可一键安装,无需额外配置。
Algernon Texto 是免费的吗?
是的,Algernon Texto 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Algernon Texto 支持哪些平台?
Algernon Texto 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Algernon Texto?
由 Antonio V. Franco(@antoniovfranco)开发并维护,当前版本 v1.0.0。