lark-hirono（广野云雀）

Lark Hirono — Feishu Document Toolkit

Upload markdown as styled Feishu documents, optimize existing pages, fetch/analyze/highlight/verify.

Skill Files Location

This skill's supporting files are located relative to this SKILL.md:

• references/optimization-guide.md — Quality standards and reference patterns for document transformation
• references/mermaid-guide.md — When and how to generate mermaid diagrams; examples for common patterns

Running the CLI

Determine the correct invocation once at the start of each session, trying each step in order:

1. Global install — check if lark-hirono is on PATH: command -v lark-hirono If found, use lark-hirono <action> [options] for all commands. If not found, install with npm install -g lark-hirono; and update to latest via npm update -g lark-hirono
2. Local dev repo — only if working inside a cloned lark-hirono repo (the directory containing package.json with "name": "lark-hirono"), ensure deps are installed (npm install) and run: npx tsx bin/lark-hirono.ts <action> [options]

All examples below use lark-hirono as shorthand — substitute the resolved command.

First-Time Setup

Run these steps once before first use. Each step is a prerequisite for the next.

1. Install lark-hirono

npm install -g lark-hirono

2. Install lark-cli

lark-hirono calls the lark-cli binary (>= 1.0.9) as a subprocess for all Feishu API operations. If it's not already installed:

mkdir -p /tmp/larkcli && cd /tmp/larkcli
npm init -y && npm install @larksuite/cli
node node_modules/@larksuite/cli/scripts/install.js

Or set the LARK_CLI environment variable to point to an existing lark-cli binary.

Verify installation:

lark-cli --version   # should print >= 1.0.9

3. Configure lark-cli

Initialize the app credentials that lark-cli uses to call Feishu APIs:

lark-cli config init

This is an interactive setup — follow the prompts to provide your Feishu app ID and secret. For details on app setup and scopes, see the lark-shared skill (lark-cli config init / lark-cli auth login).

4. Authenticate

lark-hirono auth login --domain docs
# or equivalently: lark-cli auth login --domain docs

This opens a browser for Feishu OAuth. After login, the token is cached by lark-cli (typically in ~/.config/lark/).

Verify auth:

lark-hirono auth status

If the token has expired, re-run auth login.

5. Optional config file

Create lark-hirono.json in your project directory for defaults (wiki space, node, background mode). This file is optional — all values can be passed as CLI flags instead.

Prerequisites Summary

• Node.js 20+
• lark-cli >= 1.0.9 (installed and authenticated)
• lark-hirono.json config file (optional, for wiki-space/wiki-node defaults)

Data Locations

• Config file: lark-hirono.json in current directory or ancestors
• Token cache: Managed by lark-cli (typically ~/.config/lark/)
• Keyword batches: <input.md>.keywords_batch_N.json (generated by highlight extract)
• Selected keywords: <input.md>.selected_keywords.json (LLM output, used by pipeline)

Arguments

$ARGUMENTS should be: ACTION [ARGS...]

Determine the action from user intent:

Action: upload

Upload local markdown file as styled Feishu document.

lark-hirono upload <input.md> [title] [options]

Options:

• --title <title> — Document title (default: first H1)
• --wiki-space <id> — Wiki space ID
• --wiki-node <id> — Parent node ID
• --bg-mode <mode> — Heading background: light | dark
• --image-dir <dir> — Directory for downloaded images
• --strip-title — Remove first H1 heading
• --no-highlight — Skip keyword highlighting
• --frontmatter-as-callout — Convert YAML frontmatter into a Meta callout (blockquote → Feishu callout). Without the flag, frontmatter passes through unchanged.
• --mention-map <path> — JSON map keyed by doc URL: {"<url>": {"obj_token": "…", "obj_type"?: 22, "title"?: "…"}}. After upload, any text_run link matching a key is rewritten to a native mention_doc element so Feishu's backlinks panel and graph view populate.
• --verify — Fetch and verify after upload
• --dry-run — Preprocess only, print markdown to stdout
• -v, --verbose — Verbose logging

Input format notes:

• [^name] inline footnote refs + [^name]: body definitions are auto-detected and rewritten to unicode superscripts (⁽¹⁾…) plus a trailing ## Footnotes section. Idempotent and a no-op on inputs without footnote defs. Content inside fenced code blocks is left alone.

For catalog_table docs (tables with Code/Title columns):

1. Run highlight extract input.md first
2. Send JSON to LLM, save as .selected_keywords.json
3. Upload will auto-apply keywords if file exists

Example:

lark-hirono upload my-doc.md "My Document" --wiki-space 123456

Action: optimize

Light-touch optimization of a Feishu wiki document: fix errors, repair corruption, improve formatting — while preserving the author's tone, style, and intent.

Core principle: The original document is the authority. The reference document only guides formatting structure. Never rewrite or restructure aggressively.

Output: A new wiki sub-page under the reference document containing the optimized version.

How it works: The skill uses CLI commands (fetch, upload, analyze) as tools while applying LLM judgment for corruption detection, emphasis decisions, and quality audits.

Arguments

• SOURCE_URL: The Feishu wiki URL to optimize, e.g. https://my.feishu.cn/wiki/Abc123
• DEST_URL (optional): A well-formatted reference doc URL; new page is created under its parent node

Extracting IDs from URLs:

• Wiki URL https://my.feishu.cn/wiki/Abc123XYZ → doc/node ID is Abc123XYZ (the path segment after /wiki/)
• Use this ID for --doc, --wiki-node CLI flags

Workflow

Follow these tasks in order:

1. Read Source — Fetch and understand the source document
2. Read Reference — Fetch and analyze the reference document's format
3. Format Analysis — Compare structures and identify format gaps
4. Content Review — Identify factual errors, incomplete descriptions, minor issues
5. Generate Optimized Version — Apply light-touch improvements 5.5. Content Preservation Audit — Verify no content was dropped or shortened 5.6. Emphasis Audit — Verify color/bold density is appropriate 5.7. Rendered-Layout Regression Check — Verify no visual regressions
6. Write to Feishu — Create new sub-page with optimized content

Task 1: Read Source Document

lark-hirono fetch --doc <source-doc-id>

Save the full output. This is the document to optimize.

Analyze carefully: topic, purpose, writing style/tone, heading structure, content flow, formatting patterns, and technical payload that must survive (numbers, formulas, systems, deployment facts, experiment settings, citations, caveats). Record observations for Task 5.

Task 2: Read Reference Document

lark-hirono fetch --doc <reference-doc-id>

Save the full output. This is the format reference only — not a content source.

Analyze the FORMAT only: heading hierarchy, section organization, formatting conventions (bold, lists), content density, structural elements (dividers, quotes, code blocks).

Task 3: Format Analysis

Read references/optimization-guide.md for the detailed comparison framework and known format conventions.

Reference Discipline:

• The optimization guide is a style reference, not a license to restyle the document wholesale
• Preserve the source document's macro-structure unless there is a clear formatting defect
• Do not renumber or deepen the heading hierarchy just to match the reference pattern if the source already has a stable hierarchy
• If an opening block, metadata block, or summary layout already works, prefer light cleanup over redesign

Check the source document against these specific format conventions:

Hard Constraints:

• Do not assume numbered headings are mandatory when the source already has a coherent hierarchy
• Exception — Chinese ordinal headings are always a defect: ## 一、, ## 二、, ## 三、… use Chinese characters that do NOT trigger the tool's blue-number coloring. Always convert to ## 1 Title, ## 2 Title… format. This is not optional.
• Do not force extra subsection levels simply because the reference is more granular
• All siblings at the same heading level must be consistently numbered or consistently unnumbered. A lone unnumbered heading (e.g., ## Cheatsheet) among numbered siblings must be assigned the next sequential number.
• Treat opening layout, metadata layout, and top-of-document summary layout as high-risk areas where over-editing is likely to regress the page

Important: Only note FORMAT differences. Do not compare content topics.

Task 4: Content Review (Light Touch)

Review the source document for issues that should be fixed regardless of format:

Fix These:

• Factual errors: Incorrect technical information, wrong version numbers, broken links
• Incomplete descriptions: Sentences that trail off, missing explanations, TODO/placeholder text
• Obvious typos: Spelling errors, grammar mistakes that change meaning
• Broken formatting: Unclosed markdown, inconsistent list indentation
• Feishu export corruption: Paragraphs that became headings, broken heading hierarchy, merged content

Do NOT Change:

• Author's tone: If they write casually, keep it casual
• Content focus: If they emphasize certain topics, respect that emphasis
• Technical opinions: If they recommend a tool or approach, keep it
• Original structure: Only adjust structure if it clearly conflicts with the reference format
• Level of detail: If the author was brief on a topic, they may have had a reason

Task 4.5: Mermaid Diagram (Best-Effort)

Read references/mermaid-guide.md for patterns, rules, and placement examples.

Decision: does this document benefit from a diagram? Generate one mermaid block (placed after the opening callout, before the first heading) if the document describes a multi-stage pipeline, system architecture, branching algorithm, or process flow. Skip for reference tables, FAQs, catalogs, or docs with no flow structure. When in doubt, skip — a bad diagram is worse than no diagram.

The pipeline handles all visual styling automatically. You only write the structure.

Task 5: Generate Optimized Version

CRITICAL: Read this section carefully before writing.

The 80/20 Rule

The optimized document should be 80%+ identical to the original. Changes should be subtle improvements, not rewrites.

What to change:

1. Opening callout — REQUIRED for narrative documents (text-heavy, few tables). Skip for catalog_table or data_table documents.

- Write it as the very first block, before any heading. - Format: <callout emoji="ICON" background-color="light-blue" border-color="light-blue"> — choose an icon (e.g. gift, bulb, bookmark, pushpin, rocket, star) - Put the document's intro/summary description inside, closed with </callout> - If the source already has an intro paragraph, blockquote, or summary section that describes the document, reuse or lightly optimize that content as the callout body — do not invent new summary text - If no such content exists, synthesize a 1–3 sentence summary from the document's main topic and scope - Pipeline safety net: Pipeline auto-injects from first paragraph as fallback — always write explicitly for control over content and emoji.

1. Heading restructuring — Fix numbering AND hierarchy when needed:

- Apply continuous sequential numbering: ## 1, ## 2… for top-level; ### 1.1, ### 1.2… for second-level - Input format: Write ## 1 Title (number then space then title — no period in the markdown you write). The pipeline adds a period automatically for single-level numbers: ## 1 Title → rendered as 1. Title with blue prefix. Multi-level numbers (### 1.1 Sub) do NOT get a period added. - Fix Chinese ordinals: ## 一、标题 → ## 1 标题 - Fix corruption: Paragraphs that became headings → convert back to paragraphs - Preserve hierarchy: Do not add or remove heading levels unless structure is broken

1. Add emphasis — Apply {red:...} and {green:...} markers:

- Red emphasis: Key conclusions, results, important claims (10-20 instances in a long doc) - Bold phrase: {red:**important conclusion**} → renders bold + red - Plain text: {red:term} → renders red - Inline code: ` {red:cmd} → renders red code - **Green emphasis**: First mention of key technical terms (5-10 instances) - Plain text: {green:term} → renders green - Inline code: {green:code} → renders green code - **CRITICAL — convert raw <text color> tags from fetched docs**: Raw <text color="green">BF16</text> HTML from fetched documents does NOT render in uploaded docs — it appears as plain text. During optimization, convert every <text color="COLOR">CONTENT</text> to its shorthand form: {green:CONTENT}, {red:CONTENT}, etc. If the content has bold, place bold inside: {green:CONTENT}. Never preserve the raw <text color> form in the optimized output. - **Preserve all existing emphasis**: Every {red:...}, {green:...}, and bold in the source document MUST be carried over to the optimized version. Add new emphasis on top; never remove original emphasis. - **CRITICAL rendering rules**: Bold INSIDE color tags ({red:text}, never {red:text}). No $formula$ in headings. No ** wrapping $formula$` boundaries. See optimization-guide § "Rendering Pitfalls" for full patterns.

1. Add in-line callouts — Insert markdown blockquotes for key insights throughout the document body:

- Use > 📌 **标题**:... for key insights - Use > 📚 **背景**:... for background knowledge - Target: 5-15 such blockquotes throughout a long document - Pipeline auto-conversion: Blockquotes matching TL;DR, 核心思想, 关键结论, 一句话总结, 核心区别 etc. are auto-converted to <callout> XML. Do not manually write <callout> XML for these — write > TL;DR:... and let the pipeline convert. - CRITICAL — no emoji prefix inside <callout> XML body: When writing a <callout> XML block directly, do NOT start the body text with an emoji (📌, 💡, 📚, etc.). The emoji= attribute on the opening tag already provides the icon — adding an emoji in the body text creates a redundant double-icon display. Only the > 📌 **Title**:... blockquote syntax (auto-converted by pipeline) needs the emoji prefix. - CRITICAL — no nested <callout> XML: Lark does not render a <callout> XML block nested inside another <callout> XML block. If the source document contains this pattern, convert the inner <callout> block to plain paragraphs (strip the opening/closing XML tags, keep the text). Markdown blockquotes (>...) inside a <callout> body are fine and are NOT nested callouts.

1. Fix code blocks — Add language tags if missing.
2. Fix factual errors — Correct typos, broken links, wrong information
3. Preserve images, tables, equations verbatim — Copy <image token>, <lark-table>, <equation> tags unchanged at their original positions. Do not rewrite <equation> as $...$. Do not emit pipe-wrapped |lark-table...| — use <lark-table> XML or standard markdown tables. See references/optimization-guide.md § "Verified Syntax Reference" for full correct/incorrect patterns.

- CRITICAL — equations: Never write bare LaTeX subscripts (_{\text{...}}) outside $...$ or <equation> delimiters — bare _ becomes italic. Multi-subscript bug: 2+ _{...} in one formula breaks (lark-cli pairs _ as italic). Workaround: use single-char subscripts without braces (_p, _h). Single _{...} per formula is safe. - CRITICAL — lark-table cells: ***bold-italic*** with underscored content (e.g. ***sm__throughput***) breaks — lark-cli misinterprets _ inside ***. Use backtick code format (` sm__throughput `) for metric names with underscores.

1. <quote-container> handling — lark-cli upload does NOT support <quote-container> (silently drops). Pipeline auto-converts: → blockquote (outside tables) / <callout> grey (inside tables). Leave as-is or convert manually.

What NOT to change:

• Do not rewrite paragraphs for style
• Do not add new sections or remove existing sections
• Do not change technical details or recommendations
• Do not restructure the document's argument flow

Task 5.5: Content Preservation Audit

CRITICAL: Before writing to Feishu, verify that no content was lost.

Compare the optimized version against the source:

• All sections present (no sections removed)
• All paragraphs present (no paragraphs dropped)
• All code blocks present (no code removed)
• All tables present (no data lost)
• All links preserved (no links removed)
• Technical details intact (numbers, formulas, commands)
• All <image token="..."> tags present (count source vs output — zero missing)
• All <equation> blocks present and unchanged (do not rewrite or split formulas)

If content is missing: Add it back. The optimized version must have 100% of the original content.

Task 5.6: Emphasis Audit

Verify that emphasis density is appropriate:

• Red emphasis: 10-20 instances in a long document (or proportional to length)
• Green emphasis: 5-10 instances for first-mention technical terms
• Not over-emphasized: No more than 3 emphasized items per paragraph
• Not under-emphasized: Key conclusions are highlighted

Task 5.7: Rendered-Layout Regression Check

Verify that the optimized document will not have visual regressions:

• Headings will render correctly (proper hierarchy)
• Code blocks have language tags
• Tables will render (proper markdown table syntax)
• Callouts will render (proper blockquote syntax)
• No unclosed markdown syntax

Task 6: Write to Feishu

If the source was a local file (e.g., report.md): write the optimized content to report_upload.md (same directory, _upload suffix). Never modify the original file. Never use a /tmp/ path.

If the source was fetched from Feishu: write to any convenient temp file (e.g., <title>_upload.md in current directory).

# Step 1: Write optimized content to upload file
# For local source report.md → use report_upload.md
cat > report_upload.md << 'OPTIMIZED_CONTENT_END'
[optimized markdown content here]
OPTIMIZED_CONTENT_END

# Step 2: Upload — default is always to create a new sibling page
lark-hirono optimize --doc <doc-id> --input report_upload.md --new \
  --title "Optimized: [Original Title]"

# Only update in place if the user explicitly asked to overwrite the original:
# lark-hirono optimize --doc <doc-id> --input report_upload.md

Note the --new flag creates a sibling page under the same parent node. Capture the returned URL/doc-id for the verification step below.

Task 7: Post-Upload Verification (Required)

After uploading, verify the rendered document has no regressions before reporting to the user.

lark-hirono verify --doc <new-doc-id>

Check the output for:

• Callout present (narrative docs)
• Headings numbered sequentially, no Chinese ordinals
• No \# artifacts (escaped hashes leaked into text — pipeline uses ZWSP instead)
• No plain-text <text color> tags visible in content
• Content count plausible (not drastically shorter than source)

If issues are found → fix the local upload file, re-upload with --new (or overwrite the just-created page if you have its ID), and verify again. Iterate up to 3 times total.

After a clean verify (or after exhausting 3 attempts), report to user:

1. URL of the new page
2. Changes made — brief list of formatting improvements applied
3. Confidence level — how confident you are in the changes; note any unresolved issues from the retry loop

Action: fetch

Retrieve Feishu document as markdown.

lark-hirono fetch --doc <doc-id> [--output file.md]

Options:

• --doc <id> — Document ID (required)
• --output <file> — Save to file (default: stdout)

Outputs markdown to stdout unless --output is given.

Action: analyze

Analyze markdown document structure.

lark-hirono analyze <input.md>

Returns JSON with:

• document_type — narrative | data_table | catalog_table | mixed
• heading_count — Number of headings
• table_count — Number of tables
• table_rows — Total table rows
• suggested_modules — Recommended transformations

Action: highlight

Extract table titles for LLM keyword selection, or apply keywords to markdown.

Extract

lark-hirono highlight extract <input.md> [--batch-size N]

Extracts Code/Title columns from tables, saves as:

• input.md.keywords_batch_0.json
• input.md.keywords_batch_1.json (if >200 titles)

Next step: Send JSON files to LLM, save response as input.md.selected_keywords.json

Apply

lark-hirono highlight apply <input.md> <keywords.json> [--inplace]

Wraps keywords in {red:**keyword**} tags within table titles.

Note: upload and optimize auto-apply if .selected_keywords.json exists.

Action: verify

Fetch and verify Feishu document quality.

lark-hirono verify --doc <doc-id>
lark-hirono verify <doc-id>          # positional form

Options:

• --doc <id> — Document ID (required unless passed positionally)
• -v, --verbose — Verbose output

Reports:

• Block/heading/table counts, heading background coverage
• Red highlights and bold header counts
• Residual HTML tags (should be empty)
• Pass/fail checks for structural and content-level expectations

Exit code 0 on pass, 1 on any failing check.

Action: auth

Feishu authentication management (passthrough to lark-cli).

lark-hirono auth login
lark-hirono auth status

Document Types

Narrative — Text-heavy documents with headings

• Transforms: normalize, headings, callout
• No LLM needed

Catalog_table — Tables with Code/Title columns, 50+ rows

• Transforms: normalize, tables, keyword highlighting
• LLM needed for keyword selection

Data_table — Tables with <50 rows

• Transforms: normalize, tables
• No LLM needed

Workflow Examples

Upload narrative doc

lark-hirono upload my-article.md

Upload catalog_table doc with keywords

lark-hirono highlight extract catalog.md
# Send catalog.md.keywords_batch_0.json to LLM
# Save response as catalog.md.selected_keywords.json
lark-hirono upload catalog.md

Optimize existing Feishu doc

lark-hirono optimize --doc CcKqdWjF2o2UzixXZDecXxvInyc

Update Feishu doc from local file

lark-hirono optimize --doc CcKqdWjF2o2UzixXZDecXxvInyc --input local.md

Upload a note with frontmatter + native backlinks

# mentions.json is a JSON object keyed by doc URL:
# { "https://www.feishu.cn/wiki/<node_token>": { "obj_token": "<obj_token>" } }
lark-hirono upload post.md \
  --frontmatter-as-callout \
  --mention-map mentions.json

After upload, any markdown link to a URL in mentions.json becomes a native Feishu doc mention, populating the backlinks panel on the target doc.

Supporting Files

• references/optimization-guide.md — Quality standards and reference patterns
• references/mermaid-guide.md — Mermaid diagram patterns and examples