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Daily AI news digest covering technical advances, business news, and engineering impact. Aggregates from research papers, tech blogs, HN, newsletters. Use daily for staying current on AI developments.
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LLM token logprobs and calibration. Per-decision confidence, ECE, Brier, reliability diagrams, low-confidence triage.
Analyze LLM token logprobs and calibration. Use for per-decision confidence, ECE, Brier scores, reliability diagrams, and low-confidence triage.
回顾最近 N 天的 Claude Code 使用记录——扫描原始会话数据，按主题分组汇总"我都做了什么"，并从个人操作系统视角输出模式、风险与增删建议。当用户说 /recap、"看看我这几天做了什么"、"回顾一下我最近的会话"、"这两天我用 claude 干了啥"、"活动回顾" 时使用。
SOC 職業分類に基づく
SKILL.md を表示中
| name | ai-daily-digest |
| description | Daily AI news digest covering technical advances, business news, and engineering impact. Aggregates from research papers, tech blogs, HN, newsletters. Use daily for staying current on AI developments. |
| argument-hint | [--focus technical|business|engineering|leadership] |
| allowed-tools | WebSearch, WebFetch, Read, Write |
| user-invocable | true |
Generate comprehensive daily AI news digest with technical, business, and engineering coverage.
Parse from $ARGUMENTS:
--focus [technical|business|engineering|leadership|all] — Default: allTrack last run date in:
./findings/ai-daily-digest/.last-run
Format: YYYY-MM-DD
Track previously covered stories in:
./findings/ai-daily-digest/.covered-stories
Format: Each story on one line with pipe-separated fields:
{date}|{story_id}|{url}
Where:
date — Date story was covered (YYYY-MM-DD)story_id — Normalized identifier: lowercase, no spaces, key terms only (e.g., falcon-h1r-7b-release, xai-20b-funding, openai-gpt5-launch)url — Source URLExample:
2026-01-28|deepseek-r1-release|https://api-docs.deepseek.com/news/news250120
2026-01-29|falcon-h1r-7b-release|https://falcon-lm.github.io/blog/falcon-h1r-7b/
2026-01-29|xai-20b-funding|https://news.crunchbase.com/venture/biggest-funding-rounds
Keep last 300 entries (trim oldest when exceeding).
Purpose: Prevents duplicate stories across days. Web searches return same popular stories regardless of date filters. Story ID enables fuzzy matching across different URLs covering same event.
When running on Friday, automatically enable broader research:
Search for new interesting smaller blogs:
"AI blog" OR "ML blog" interesting {date_range}
site:substack.com AI machine learning
site:medium.com AI LLM practical (filter by quality)
site:dev.to AI machine learning tutorial
HN "Show HN" AI blog
When finding new quality blogs:
sources.md if consistently goodQuality signals:
sources.md for search patterns and URLsoutput-template.md for digest format.last-run file:
.covered-stories file (CRITICAL):
{date}|{story_id}|{url}covered_ids — Set of all story_idscovered_urls — Set of all URLsSkip if focus excludes technical
Search patterns:
AI LLM breakthrough OR release site:arxiv.org {date_range}AI model release OR launch {date_range}LLM framework tool release {date_range}site:huggingface.co blog {date_range}site:openai.com blog {date_range}site:anthropic.com news {date_range}Collect:
Skip if focus excludes business
Search patterns:
AI startup funding OR acquisition {date_range}AI company valuation OR investment {date_range}site:techcrunch.com AI {date_range}site:venturebeat.com AI {date_range}OpenAI OR Anthropic OR Google AI business {date_range}Collect:
Skip if focus excludes engineering
Search patterns:
AI coding assistant OR developer tools {date_range}AI engineering workflow productivity {date_range}AI job market developer skills {date_range}site:news.ycombinator.com AI OR LLM {date_range}site:reddit.com/r/MachineLearning {date_range}site:reddit.com/r/LocalLLaMA {date_range}Collect:
Skip if focus excludes leadership
Search patterns:
AI leadership engineering management {date_range}AI team strategy CTO VP engineering {date_range}site:hbr.org AI leadership managementsite:mckinsey.com AI leadershipAI transformation organizational change {date_range}engineering leadership AI adoption {date_range}Collect:
Discover trending AI/ML repositories and tools:
Direct fetch:
https://github.com/trending?since=daily&spoken_language_code=en for overall trendinghttps://github.com/trending/python?since=daily (most AI repos)https://github.com/trending/jupyter-notebook?since=daily (ML notebooks)Search patterns:
site:github.com "stars" AI LLM new {date_range}site:github.com trending machine learning {date_range}github AI tool "just released" OR "new release" {date_range}site:news.ycombinator.com "Show HN" github AI {date_range}Collect:
Quality signals:
Dedup note: Same repo may appear across days — use {repo-owner}-{repo-name} as story_id.
IMPORTANT: Include interesting/valuable GitHub repos even if not brand new (e.g., trending for past week, recent major updates, or popular repos not yet covered). Check against .covered-stories - if repo not already covered, include it regardless of age. Value and utility matter more than recency for GitHub content.
Discover new AI apps/tools for specific professional domains:
Software Engineers:
Search patterns:
AI developer tools new release {date_range}AI coding assistant launch {date_range}AI code review tool {date_range}AI debugging assistant {date_range}"AI for developers" tool app {date_range}site:producthunt.com AI developer coding {date_range}AI IDE plugin extension {date_range}AI terminal CLI tool {date_range}Collect:
Photographers & Videographers:
Search patterns:
AI photo editing tool new {date_range}AI video editing software {date_range}AI image generation photography {date_range}AI video upscaling enhancement {date_range}"AI for photographers" tool app {date_range}"AI for videographers" tool app {date_range}site:producthunt.com AI photo video {date_range}AI color grading tool {date_range}AI background removal tool {date_range}AI video stabilization {date_range}Collect:
Writers & Content Creators:
Search patterns:
AI writing tool new {date_range}AI content generation platform {date_range}"AI for writers" OR "AI writing assistant" {date_range}site:producthunt.com AI writing content {date_range}AI copywriting tool {date_range}AI blog post generator {date_range}AI script writing tool {date_range}Collect:
Designers:
Search patterns:
AI design tool new {date_range}AI Figma plugin {date_range}"AI for designers" tool app {date_range}site:producthunt.com AI design {date_range}AI logo generator OR brand design {date_range}AI UI UX design tool {date_range}generative design AI {date_range}Collect:
Researchers & Academics:
Search patterns:
AI research tool new {date_range}AI literature review OR research assistant {date_range}"AI for researchers" OR "AI for academics" {date_range}AI paper summarization tool {date_range}AI citation management {date_range}AI data analysis research {date_range}Collect:
Educators & Teachers:
Search patterns:
AI education tool new {date_range}AI tutoring platform OR adaptive learning {date_range}"AI for teachers" OR "AI for educators" {date_range}site:producthunt.com AI education learning {date_range}AI lesson planning tool {date_range}AI grading assessment {date_range}Collect:
Healthcare Professionals:
Search patterns:
AI healthcare tool new {date_range}AI medical imaging OR diagnostics {date_range}"AI for doctors" OR "AI for clinicians" {date_range}AI clinical decision support {date_range}AI EHR electronic health records {date_range}AI medical scribing documentation {date_range}Collect:
Legal Professionals:
Search patterns:
AI legal tool new {date_range}AI contract review OR analysis {date_range}"AI for lawyers" OR "legal tech AI" {date_range}AI legal research platform {date_range}AI document automation legal {date_range}AI compliance tool {date_range}Collect:
Finance & Accounting:
Search patterns:
AI finance tool new {date_range}AI accounting automation {date_range}"AI for finance" OR "AI for accounting" {date_range}site:producthunt.com AI finance fintech {date_range}AI fraud detection financial {date_range}AI forecasting financial {date_range}Collect:
Quality signals (all domains):
Discover AI applications across specific domains:
AI in Education:
Search patterns:
AI education platform OR edtech {date_range}adaptive learning AI personalized education {date_range}AI tutoring breakthrough {date_range}AI assessment education {date_range}Collect:
AI in Healthcare & Biotech:
Search patterns:
AI drug discovery OR biotech {date_range}AI diagnostics medical breakthrough {date_range}AI clinical trials healthcare {date_range}AI protein folding OR molecular {date_range}AI radiology pathology imaging {date_range}Collect:
AI in Creative Industries:
Search patterns:
AI music generation OR composition {date_range}AI game development OR procedural generation {date_range}AI art generation breakthrough {date_range}AI film production OR VFX {date_range}AI voice cloning OR synthesis {date_range}Collect:
AI in Robotics & Hardware:
Search patterns:
AI robotics OR humanoid robot {date_range}embodied AI OR physical AI {date_range}robot learning OR manipulation {date_range}autonomous vehicle OR robotaxi {date_range}drone AI OR aerial robotics {date_range}Collect:
AI in Gaming:
Search patterns:
AI gaming NPC OR game AI {date_range}procedural generation AI game {date_range}AI game testing OR QA {date_range}AI esports OR competitive gaming {date_range}Collect:
AI in Scientific Research:
Search patterns:
AI scientific discovery OR research {date_range}AI lab automation OR experiment {date_range}AI hypothesis generation {date_range}AI materials science OR chemistry {date_range}AI climate modeling OR simulation {date_range}Collect:
Consumer AI Products:
Search patterns:
AI consumer app launch {date_range}AI smartphone feature OR mobile {date_range}site:producthunt.com AI consumer {date_range}AI home automation OR smart home {date_range}AI personal assistant device {date_range}Collect:
Search patterns:
AI safety research OR alignment {date_range}AI ethics guidelines OR framework {date_range}AI regulation OR policy {date_range}site:anthropic.com alignment OR safety {date_range}AI incident OR failure {date_range}interpretability OR explainable AI {date_range}AI bias fairness {date_range}Collect:
Search patterns:
open source AI model release {date_range}open weights OR open source LLM {date_range}site:huggingface.co open source {date_range}AI dataset release OR open data {date_range}democratizing AI OR AI democratization {date_range}EleutherAI OR LAION OR BigScience {date_range}Collect:
Search patterns:
AI chip OR AI accelerator {date_range}GPU OR TPU OR AI compute {date_range}Groq OR Cerebras OR AI hardware {date_range}AI training infrastructure {date_range}model serving OR inference optimization {date_range}edge AI OR on-device AI {date_range}AI datacenter OR compute cluster {date_range}Collect:
Search patterns:
European AI OR EU AI regulation {date_range}China AI OR Chinese AI development {date_range}Japan AI OR Japanese AI {date_range}Korea AI OR Korean AI {date_range}India AI development {date_range}AI policy Europe OR Asia {date_range}Mistral OR French AI {date_range}Collect:
Discover new interesting AI-related YouTube content:
Search patterns:
AI tutorial OR explanation site:youtube.com {date_range}LLM OR "large language model" site:youtube.com {date_range}AI news OR update site:youtube.com {date_range}machine learning explained site:youtube.com {date_range}AI coding assistant demo site:youtube.com {date_range}"AI paper" review OR breakdown site:youtube.com {date_range}Priority channels (check for recent uploads):
Collect:
Quality signals:
Dedup note: Use youtube-{channel}-{video-slug} as story_id.
Search for surprising, mind-bending, or philosophical AI content:
Search patterns:
AI "mind-blowing" OR "incredible" demo {date_range}AI art OR creative unexpected {date_range}AI philosophical implications {date_range}site:twitter.com AI demo viral {date_range}site:reddit.com/r/singularity {date_range}AI "you won't believe" OR "wait what" {date_range}AI ethics dilemma OR thought experiment {date_range}Collect:
Quality filter: Must genuinely provoke thought, not just clickbait.
IMPORTANT: Always search BOTH specific known sources AND broader platforms. Don't limit to listed authors—actively discover new quality content.
Check these high-quality sources:
Indie bloggers (check for recent posts):
Search pattern: site:{blog_url} {date_range} OR site:{blog_url} 2026-02 (flexible date format)
Always search these platforms for AI content:
Substack AI Content:
site:substack.com AI OR LLM {date_range}site:substack.com machine learning February 2026Medium AI Articles:
site:medium.com AI machine learning {date_range}site:medium.com "last week in AI" OR "AI trends"DEV.to AI Content:
site:dev.to AI tutorial OR insights {date_range}site:dev.to machine learning OR LLMGeneral AI Blog Search:
AI blog post {date_range} analysis insights"AI engineering" OR "ML engineering" blog post this weekAI research blog post analysis {date_range}Newsletter Discovery:
"AI newsletter" OR "ML newsletter" latest issue 2026AI weekly newsletter {date_range}Quality Signals for New Sources:
When finding new quality blogs:
⚠️ CRITICAL: All deduplication MUST happen in this phase BEFORE generating digest in Phase 17.
Step 1: Generate story IDs for all collected items
For each story found, generate a normalized story_id:
falcon-h1r-7b-releasexai-20b-fundingopenai-gpt5-launchsimonwillison-sandboxes-postwef-ceo-ai-anxiety-surveyStep 2: Deduplicate within session
Remove duplicate stories across sources (same event, different URLs).
Step 3: Deduplicate against history (STRICT - USE IN-MEMORY DATA FROM PHASE 1)
⚠️ Use the .covered-stories data loaded in Phase 1 (in-memory covered_ids and covered_urls sets).
DO NOT re-read the file. DO NOT update the file yet.
Filter out ANY story where:
covered_ids → SKIP (e.g., falcon-h1r-7b-release already covered)covered_ids → SKIP (fuzzy: same product/company + same action)covered_urls → SKIPExamples of stories to SKIP:
Stories to INCLUDE:
covered_ids, URL NOT in covered_urls)Step 4: Keep only filtered stories
Store the filtered list. These are the ONLY stories that will appear in the digest.
Step 5: Rank remaining stories
Score by:
Step 6: Categorize
Assign to template sections.
Step 7: Top 5
Select most impactful stories from NEW filtered content only.
⚠️ Only use the filtered stories from Phase 16 Step 4. Do NOT include any stories that were filtered out.
output-template.md- [ ] **[Title]** — [1-line summary] [Source: URL]- [ ] on ALL story items with source URLs (renders as clickable task in Notion)⚠️ CRITICAL: Do NOT update .covered-stories in this phase. That happens in Phase 20 AFTER verification.
Step 1: Create directories if needed
mkdir -p ./findings/ai-daily-digest
Step 2: 🔴 SAVE TO NOTION WORKSPACE (REQUIRED - DO NOT SKIP)
⚠️ CRITICAL: This step is MANDATORY. The digest MUST be saved to Notion.
Step 2a: Load Notion MCP tool
Notion tools are deferred and must be loaded first using ToolSearch:
select:mcp__notion__notion-create-pages
Step 2b: Read digest content
Read the digest file just created to get the full content.
Step 2c: Create Notion page
Use mcp__notion__notion-create-pages to create page under parent "🤖 AI Digests":
3035f40a-a0f4-81ea-8033-fc823dd8eb92🤖 AI Digest {YYYY-MM-DD}Example call:
{
"parent": {"page_id": "3035f40a-a0f4-81ea-8033-fc823dd8eb92"},
"pages": [{
"properties": {"title": "🤖 AI Digest 2026-02-16"},
"content": "**Focus:** All\n**Coverage:** ...\n\n## 🔬 Technical Advances\n..."
}]
}
Verification: Confirm Notion page created successfully (returns page URL) before continuing.
Step 3: Write archive copy
./findings/ai-daily-digest/ai-digest-{YYYY-MM-DD}.md
Step 4: Update last run date ONLY
./findings/ai-daily-digest/.last-run
Use Write tool to save today's date in YYYY-MM-DD format (e.g., 2026-01-28).
File contains only the date string, nothing else.
⚠️ DO NOT update .covered-stories yet. Wait for verification in Phase 19.
Verification: Confirm files written successfully (Notion page + 1 archive file + 1 last-run file) before proceeding to Phase 19.
⚠️ NOTE: .covered-stories has NOT been updated yet with today's stories. This is intentional.
Spawn a separate verification agent to check for duplicates as a sanity check.
Agent task:
Verify AI digest for duplicate stories against recent history.
Files to read:
1. Today's digest: ./findings/ai-daily-digest/ai-digest-{YYYY-MM-DD}.md
2. Last 3 digests from ./findings/ai-daily-digest/ (by date, excluding today)
3. Covered stories: ./findings/ai-daily-digest/.covered-stories (should NOT include today's stories yet)
Check for:
1. **Exact duplicates** — Same story_id in today's digest and .covered-stories (before today)
2. **Near duplicates** — Same company/product + similar action within 7 days
3. **URL duplicates** — Same URL appeared in previous digests
4. **Topic fatigue** — Same topic (e.g., "GPT-5 rumors") covered 3+ times in past week
For each potential duplicate found:
- Story title from today's digest
- Matching story from history (date, story_id, URL)
- Duplicate type (exact/near/url/fatigue)
- Recommendation: REMOVE or KEEP (with justification)
Output format:
## Duplicate Check Results
### ❌ Duplicates Found (Remove)
- **{Story}** — matches {history_story} from {date} [{type}]
### ⚠️ Borderline (Review)
- **{Story}** — similar to {history_story} [{type}] — {why borderline}
### ✅ All Clear
{count} stories verified as unique
If duplicates found, list specific line numbers in today's digest to remove.
Agent type: general-purpose
On duplicate detection:
If agent finds duplicates marked REMOVE:
If only borderline items:
*Verification: {N} borderline items retained*If all clear:
.last-run on successful digest generation# Full digest since last run
/ai-digest
# Technical focus only
/ai-digest --focus technical
# Business news only
/ai-digest --focus business
⚠️ Only execute this phase AFTER Phase 19 verification passes (or duplicates are removed).
Append to covered stories:
./findings/ai-daily-digest/.covered-stories
For each story in today's FINAL digest (after any removals from Phase 19), append line in format:
{date}|{story_id}|{url}
Example entries:
2026-01-30|nvidia-isaac-groot-n16|https://nvidianews.nvidia.com/news/nvidia-releases-new-physical-ai-models
2026-01-30|apple-qai-acquisition|https://techstartups.com/2026/01/29/apple-acquires-israeli-ai-startup
2026-01-30|simonwillison-sprites-dev|https://simonwillison.net/2026/Jan/9/sprites-dev/
Implementation:
Use Bash with heredoc to append all stories at once.
Cleanup: Keep file under 300 lines — if over, trim oldest entries from top.
Final verification: Confirm file updated successfully. Digest generation complete.
Story items use - [ ] checkbox format for newsletter curation:
- [ ] = not selected- [x] = selected for weekly newsletterUser checks stories in Notion → /ai-newsletter extracts checked items into curated weekly newsletter. See ai-newsletter skill for details.