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reedle - The Reedle CLI for managing your intelligent reading library and extracting content
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/iopho-team/iopho-skills --skill reedleコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
wribble - The Wribble CLI for publishing blog posts and managing channels
Reverse-engineer videos into .storyboard.md files for AI video regeneration
Plan and assemble the complete audio layer for product videos — BGM selection/generation, voiceover assembly with ducking, SFX placement, and master audio export. Two modes: PLAN (generate audio-plan.md strategy) and ASSEMBLE (execute with FFmpeg). Includes Suno AI music prompt templates with timecodes and proven duck levels. Use when planning audio strategy for a video, generating BGM prompts, mixing voiceover with music, adding sound effects, or exporting final audio. Triggers: "audio plan", "BGM", "music", "ducking", "audio mix", "sound design", "Suno prompt", "master audio", "audio assembly".
SOC 職業分類に基づく
SKILL.md を表示中
| name | reedle |
| description | reedle - The Reedle CLI for managing your intelligent reading library and extracting content |
| allowed-tools | Bash(reedle *), mcp__reedle__reedle_list_articles, mcp__reedle__reedle_get_article, mcp__reedle__reedle_get_article_content, mcp__reedle__reedle_create_article, mcp__reedle__reedle_update_article, mcp__reedle__reedle_delete_article, mcp__reedle__reedle_search_articles, mcp__reedle__reedle_search_semantic, mcp__reedle__reedle_find_similar_articles, mcp__reedle__reedle_list_tags, mcp__reedle__reedle_tag_article, mcp__reedle__reedle_list_lists, mcp__reedle__reedle_get_list, mcp__reedle__reedle_list_highlights, mcp__reedle__reedle_get_highlight, mcp__reedle__reedle_list_comments, mcp__reedle__reedle_save, mcp__reedle__reedle_save_youtube, mcp__reedle__reedle_save_bilibili, mcp__reedle__reedle_read, mcp__reedle__reedle_read_youtube, mcp__reedle__reedle_read_bilibili, mcp__reedle__reedle_get_processing_status, mcp__reedle__reedle_get_credit_balance, mcp__reedle__reedle_list_decks, mcp__reedle__reedle_list_cards_due, mcp__reedle__reedle_get_study_stats |
| user-invocable | true |
| argument-hint | <command> [options] |
| updated | 2026-03-24-v0.3.0 |
Manage your Reedle reading library and extract content from the terminal or as an AI agent.
Tool preference: Use reedle CLI (Bash) for all operations — it's faster, token-efficient, and composable with grep, jq, and pipes. Use mcp__reedle__* MCP tools as fallback when the CLI is not installed or when complex multi-step MCP tool chains are more appropriate.
Install: npm install -g reedle-cli
Auth: Generate a CLI token at app.reedle.iopho.com → Settings → Integrations → CLI Token, then:
reedle auth token rdk_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
| Flag | Description |
|---|---|
--json | Output as JSON (for scripting / jq) |
--no-color | Disable color output |
-V, --version | Show version |
reedle auth token <rdk_xxx> # Set PAT (get from web Settings → Integrations → CLI Token)
reedle auth whoami # Verify token + show status
reedle auth logout # Remove stored credentials
Token stored in ~/.config/reedle/credentials.json (or ~/Library/Application Support/reedle/ on macOS).
Override with env var: REEDLE_TOKEN=rdk_xxx reedle list
Before using any save/read tool, determine user intent:
| User says… | Use |
|---|---|
| "save", "add", "keep", "bookmark" | reedle save / reedle_save* |
| "read", "summarize", "check", "fetch", "what does this say" | reedle read / reedle_read* |
| Unclear |
Default to reedle_read* — never pollute library without clear intent |
After reedle read: Offer "This article was interesting — want me to save it to your Reedle library?"
Why this matters: The user's Reedle library is their curated knowledge base. Saving content they didn't ask to save degrades it. When in doubt, extract first, ask to save after.
Saves content permanently to the user's Reedle library. Full LLM pipeline runs (fetch → parse → embed). Processing is async — use reedle show <id> or reedle_get_processing_status to check when ready.
reedle save <url> # Save a web article
reedle save <url> -t research -t ai # Save with tags
MCP tools (when CLI not available):
mcp__reedle__reedle_save — save web article URL to library
mcp__reedle__reedle_save_youtube — save YouTube video (transcript) to library; params: video_url_or_id, language_code?
mcp__reedle__reedle_save_bilibili — save Bilibili video (transcript) to library; params: video_url_or_id, cookie (required), page?
mcp__reedle__reedle_get_processing_status — check save pipeline status
Extracts content inline without saving. Credit costs: web=5cr, YouTube=10cr, Bilibili=15cr, +20cr if --llm.
reedle read <url> # Extract web article → stdout
reedle read <url> --llm # With LLM cleanup (better quality, +20cr)
reedle read <url> | head -100 # First 100 lines
reedle read <url> --json # JSON with metadata
reedle read <youtube-url> # Auto-detects YouTube URLs
reedle read <video-id> --youtube # Force YouTube mode
reedle read <video-id> --youtube --lang zh # Chinese transcript
reedle read <youtube-url> --save # Extract + also save to library
reedle read <bvid> --bilibili --cookie "..." # Bilibili transcript
MCP tools (when CLI not available):
mcp__reedle__reedle_read — extract web content; params: url, llm_cleanup?
mcp__reedle__reedle_read_youtube — extract YouTube transcript; params: video_url_or_id, language_code?
mcp__reedle__reedle_read_bilibili — extract Bilibili transcript; params: video_url_or_id, cookie (required), page?
reedle list # List recent articles
reedle list --tag research # Filter by tag
reedle list --list <list-id> # Filter by list
reedle list --starred # Starred only
reedle list --status ready # Filter by status
reedle list -n 100 # Increase limit (default: 50)
reedle show <id> # Show article metadata
reedle cat <id> # Output full article text to stdout (pipe-friendly)
reedle open <id> # Open in browser
reedle star <id> # Star an article
reedle unstar <id> # Unstar an article
reedle archive <id> # Archive an article
reedle unarchive <id> # Unarchive an article
reedle delete <id> --force # Delete (--force required to confirm)
reedle tag <id> <tag> # Add a tag
reedle untag <id> <tag> # Remove a tag
reedle search "machine learning" # Keyword search (title + excerpt)
reedle search "attention mechanism" -s # Semantic (AI) search
reedle search "neural nets" -n 10 # Limit results
reedle search "topic" --json | jq '.' # JSON output for scripting
reedle tags # List all tags with counts
reedle lists # List all reading lists
Full-screen 3-pane terminal interface. No external tools required — markdown rendering is bundled with reedle-cli.
reedle browse # All articles
reedle browse --starred # Starred only
reedle browse -t research # Filter by tag
Layout: sidebar (views/tags/lists) | article list | preview pane, with fullscreen reader on Enter.
Key map:
| Key | Action |
|---|---|
j/k | Navigate in focused pane |
Tab | Cycle focus: sidebar → list → preview |
1/2/3 | Jump to sidebar / list / preview |
Enter | Open fullscreen reader |
/ | Live search (title, site, excerpt, tags) |
s | Toggle star |
a | Toggle archive |
d d | Delete (press twice to confirm, Esc cancels) |
t | Add tag (input prompt) |
o | Open in browser |
r | Refresh from API |
b / Esc / q | Exit reader back to list |
q | Quit TUI (from list view) |
# Extract and analyze without saving
reedle read <url> | wc -w # Word count before deciding to save
# MCP pattern for research:
# 1. mcp__reedle__reedle_read (url) — get content
# 2. Analyze content
# 3. Ask user: "Want me to save this to your library?"
# 4. If yes: mcp__reedle__reedle_save (url)
for url in https://arxiv.org/... https://papers.with...
do
reedle save "$url" -t papers -t 2025
done
# Just read the transcript:
reedle read https://youtube.com/watch?v=xxx --youtube
# Read then save:
reedle read https://youtube.com/watch?v=xxx --youtube --save
# MCP: read first, offer to save
# mcp__reedle__reedle_read_youtube (video_url_or_id, language_code?)
# → returns transcript inline
# → offer: "Want me to save this video to your library?"
# mcp__reedle__reedle_save_youtube (video_url_or_id, language_code?)
reedle cat <id> | wc -w # Word count
reedle cat <id> | glow # Render markdown in terminal
reedle read <url> | head -50 # Preview before deciding to save
reedle read <url> --json | jq '.content' # Extract content field
reedle list --tag research --json | jq '.[] | {id, title, url}'
Use mcp__reedle__* tools directly for operations the CLI doesn't yet cover:
mcp__reedle__reedle_list_highlights — article highlightsmcp__reedle__reedle_list_comments — commentsmcp__reedle__reedle_find_similar_articles — similarity searchmcp__reedle__reedle_list_decks / reedle_list_cards_due — flashcardsmcp__reedle__reedle_get_credit_balance — credit balance| Operation | Credits | Notes |
|---|---|---|
reedle_read (web) | 5 cr | Jina Reader fetch |
reedle_read_youtube | 10 cr | Transcript via reedle-server-py |
reedle_read_bilibili | 15 cr | Requires cookie |
+llm_cleanup add-on | +20 cr | Gemini Flash content cleanup |
| Save operations | Dynamic | LLM cost deducted by server post-completion |
1 credit = $0.001 USD. Check balance: mcp__reedle__reedle_get_credit_balance
| Item | Value |
|---|---|
| Token env var | REEDLE_TOKEN |
| Config dir | ~/.config/reedle/ |
| Credentials file | ~/.config/reedle/credentials.json |
| API endpoint override | REEDLE_API_ENDPOINT=<url> |
| Web app | https://app.reedle.iopho.com |
| MCP endpoint | https://fhgxapmrciwlhsffdeyj.supabase.co/functions/v1/reedle-mcp |