{
    "app": {
        "name": "daily-brief",
        "description": "Operational knowledge for the daily-brief digest pipeline (this project). RSS/API fetchers, pluggable LLM enrichment (default claude CLI on Max; also anthropic/openai/deepseek/minimax API), trading section, HTML rendering, cross-platform scheduler integration (Windows Task Scheduler / macOS launchd / Linux cron). Load when the user asks about running daily / regenerating sections / debugging a failed run / adding or disabling sources / LLM quota / scheduler / why a tab shows wrong data / why a source failed / switching LLM backend. Always prefer the documented npm commands over re-implementing logic. Diagnose by reading logs/daily-*.log first, then logs/llm-calls.jsonl for LLM-side issues.",
        "mode": "advanced-chat",
        "model_config": {
            "provider": "deepseek",
            "model": "deepseek-chat",
            "parameters": {
                "temperature": 0.7,
                "max_tokens": 4096
            }
        }
    },
    "instructions": "name daily-brief description Operational knowledge for the daily-brief digest pipeline (this project). RSS/API fetchers, pluggable LLM enrichment (default claude CLI on Max; also anthropic/openai/deepseek/minimax API), trading section, HTML rendering, cross-platform scheduler integration (Windows Task Scheduler / macOS launchd / Linux cron). Load when the user asks about running daily / regenerating sections / debugging a failed run / adding or disabling sources / LLM quota / scheduler / why a tab shows wrong data / why a source failed / switching LLM backend. Always prefer the documented npm commands over re-implementing logic. Diagnose by reading logs/daily-*.log first, then logs/llm-calls.jsonl for LLM-side issues. daily-brief — Operational Skill This project generates a single-page HTML daily digest covering tech / finance / politics / market data / community discussion. The pipeline runs locally via the OS scheduler (Windows Task Scheduler / macOS launchd / Linux cron, default 08:00 local time) and emits daily_reports/<YYYY-MM-DD>/<YYYY-MM-DD>.html + sidecar files (each date gets its own subdir). The date label uses the system local timezone by default — set REPORT_TZ (e.g. Asia/Shanghai , UTC ) in .env.local to override. Detailed architecture lives in code; this skill is a cheat sheet for operating and diagnosing , not a re-explanation of the system. Project root assumption All paths in this skill are relative to the project root (the directory that contains package.json , lib/ , scripts/ ). Before any command, ensure the working directory is the project root. Two cases: Claude Code session opened inside the project — already there, no action needed Session opened elsewhere — read the config file and cd : # Cross-platform Node one-liner (prints the project root path): node -e \"const fs=require('fs'),os=require('os'),path=require('path');const cfg=path.join(os.homedir(),'.daily-brief-config');if(fs.existsSync(cfg))console.log(fs.readFileSync(cfg,'utf8').trim());else process.exit(1)\" Use the printed path: cd \"$(...)\" on bash / Set-Location (...) in PowerShell. The config file is written by node scripts/install.mjs --global . If it's missing the user hasn't done a global install — tell them to run it. Quick command reference Need Command Cost Full pipeline npm run daily ~5-8 min, ~6 Sonnet calls Fetch sanity only (no LLM) npm run dry-run ~30s Re-render existing sidecar npm run render [date] <1s Re-run trading section npm run regen-trading [date] ~2 min, 1 LLM call Top-up missing summary npm run regen-enrich <cat:sub> [date] ~20-40s, 1 LLM call Open today's report in Chrome npm run open instant Sonnet quota + call history npm run quota-report instant [date] defaults to today's date in the report timezone (system local, or REPORT_TZ if set). The pipeline and the OS scheduler both run in local time, so the report's date label = the date when the trigger fired in the report timezone. A user with REPORT_TZ=Asia/Shanghai whose machine fires the trigger at 23:00 UTC-8 will get a \"next-day Shanghai\" file, e.g. daily_reports/2026-05-17/2026-05-17.html . <cat:sub> accepted by regen-enrich : finance:news , politics:world , tech:ai-news . Single-source X 推文 ( tech:x-viral ) is enriched as part of daily only — no top-up path. File map — where to change what Task File Add / disable / re-categorize a source sources.config.json (project root — single source of truth; lib/sources/registry.ts is just a loader) Rename L1 tab labels lib/output/render.ts CATEGORY_LABELS Reorder / rename L2 subcategories SUBCATEGORY_ORDER + SUBCATEGORY_LABELS in same file Change per-source item cap SOURCE_DISPLAY_LIMITS Change merged-timeline cap MERGED_SUBGROUP_LIMITS Add a Sonnet enrichment prompt lib/ai/enrich.ts — copy XVIRAL_SYSTEM_PROMPT pattern Wire an enrichment into pipeline scripts/daily.ts — await enrichXxx(articles) in main() Add a new fetcher type New file in lib/sources/ + branch in lib/sources/dispatch.ts Adjust HTML styling inline <style> block in renderHtml() in lib/output/render.ts Change scheduler trigger time node scripts/install.mjs --at HH:MM (re-registers) Wrapper script the scheduler invokes scripts/run-daily.mjs How LLM enrichment works (mental model) Each merged L2 subcategory gets a Sonnet pass : GH-trending (per-source), finance:news, politics:world, tech:ai-news, tech:x-viral. Each pass = one batched Sonnet call for all items in that subgroup. Don't iterate per-item. Sources with lang: \"zh\" in registry skip enrichment (already Chinese). Failures are non-fatal: skipped articles just render without summary . Diagnostic flow Order matters — top-to-bottom: \"今天日报没出来\" / \"Chrome 没弹\" Check scheduled task state — platform-specific: Windows : Get-ScheduledTaskInfo -TaskName DailyBrief → LastRunTime + LastTaskResult ( 0 =success, 267009 =running, else failed) macOS : launchctl list | grep com.daily-brief (PID column + last exit code) Linux : cron doesn't track per-job state; look at logs/cron.log Tail today's log (date = local , not UTC): node -e \"const fs=require('fs'),d=new Date(),pad=n=>String(n).padStart(2,'0');console.log(fs.readFileSync('logs/daily-'+d.getFullYear()+'-'+pad(d.getMonth()+1)+'-'+pad(d.getDate())+'.log','utf8').split('\\n').slice(-40).join('\\n'))\" Check report files exist: ls daily_reports/<date>/ (any platform) or Get-ChildItem daily_reports\\<date>\\ (Windows) \"某个源数据不对 / 0 条\" Look at fetch lines near top of log — <id> <count> or <id> FAILED — <reason> If specific source failed: read its fetcher in lib/sources/<source>.ts If Cloudflare-related: see \"LinuxDo lesson\" below Single-source failure must never kill the run (try/catch per source in daily.ts ) \"LLM 调用炸 / 中文摘要缺失\" npm run quota-report — per-backend summary; for claude-cli shows 5h window, for API backends shows 24h spending If quota hot on claude-cli : wait or temporarily switch via .env.local ( LLM_BACKEND=openai etc.) If specific phase missing summaries: npm run regen-enrich <cat:sub> Each call logged to logs/llm-calls.jsonl (legacy claude-calls.jsonl still read for backwards-compat) — grep \"success\":false , see errorCategory ( quota / timeout / auth / other ) Which backend is active = LLM_BACKEND env in .env.local ; not set → claude-cli \"UI 出错 / 某个 tab 显示异常\" npm run render (1 second) — often fixes display-only bugs If still wrong: read rendered HTML for the affected panel renderRawCategoryPanel / renderSubContent chain in render.ts is where panel structure lives Recurring failure patterns (institutional knowledge) LinuxDo / Cloudflare WAF LinuxDo is behind Cloudflare and frequently flags datacenter-IP exits with \"Just a moment...\" challenges Do NOT add aggressive retry to its fetcher — burst requests escalate the WAF flag, causing persistent blocks May ship with enabled: false depending on current IP rep Browser works because of cookies + JS challenge; curl can't do either If re-enabling: keep single attempt, accept intermittent failures Run-daily.mjs wrapper notes Tees npm run daily stdout+stderr to logs/daily-<local-date>.log via stream pipes (real-time, not buffered) Exit code from npm run daily is propagated to the OS scheduler On exit 0: spawns npm run open detached so Chrome opens without blocking Cross-platform: same .mjs file works on Windows / macOS / Linux \"X 推文 出现非英文\" API's lang=en param is best-effort; some slip through Fix in lib/sources/attentionvc.ts isEnglish() — checks langsDetected (most reliable) + lang === \"zxx\" (image/code-only, kept) \"社区讨论 tab 偶发空白\" Was a JS scope bug: sub-tab/source-tab handlers used data-cat=\"tech\" selector. Tech main panel AND community panel both had sub-content with data-cat=\"tech\" , so clicking AI 媒体 in tech panel deactivated cn-community in community panel Fixed: handlers use btn.closest('.panel') + btn.closest('.sub-content') . If regression, look at inline <script> block at end of renderHtml() Trading commentary \"watchlist empty\" Sonnet occasionally returns valid JSON with empty watchlist. 1-shot retry built into lib/ai/trading-commentary.ts with stronger prompt If retry also fails, render falls back to empty trading panel — run isn't aborted Source registry conventions Sources live in sources.config.json at the project root. lib/sources/registry.ts only loads + validates that JSON at module-init; never hardcode sources in TS. Every source has: id , name , type ( rss / api / scrape ), url , category , subcategory? , enabled? , useCurl? , lang? , locales? useCurl: true for sources behind Cloudflare-style TLS-fingerprint blocks lang: \"zh\" (or \"en\") for sources already in a specific language — enrich skips them when REPORT_LOCALE matches locales: [\"zh\"|\"en\"] filters which REPORT_LOCALE keeps the source. Omit → both Disabled sources stay in the JSON with enabled: false + a notes field explaining why — don't delete Run npm run sources to see the table by category with current enable/filter status Render layout (current, may evolve) L1 tabs in order: tech / trading / politics / finance / community 技术动态 (tech) L2: GitHub Trending (per-source, cap 20) L2: X 推文 (single source attentionvc-ai, cap 20, preserve fetch order) L2: AI 媒体 (merged 7 RSS sources, cap 15, summary) 市场行情 (trading) asset-group tabs: macro / 美股 / 加密 / 中港 / 商品外汇 时政观察 (politics:world) merged single timeline, cap 15, summary, sports filtered 财经要点 (finance:news) merged single timeline, cap 12, summary 社区讨论 (community) Source tabs: V2EX / LinuxDo (cap 10 each) Note: cn-community is registered under category=tech but rendered as its own L1 panel — see TECH_MAIN_SUBS vs TECH_COMMUNITY_SUBS in render.ts Scheduler integration (cross-platform) scripts/install.mjs registers the daily trigger via the OS-native scheduler: OS Mechanism Wake-from-sleep Windows Task Scheduler \"DailyBrief\" ( WakeToRun , AllowStartIfOnBatteries , StartWhenAvailable ) + power-plan wake timers ✓ wakes laptop macOS launchd plist ~/Library/LaunchAgents/com.daily-brief.plist ✗ doesn't wake; configure pmset separately if needed Linux crontab entry tagged # daily-brief ✗ cron doesn't fire while suspended — run skipped Common: Default trigger: 08:00 local time ( --at HH:MM to change) Runs as current interactive user — required because claude CLI's OAuth token lives in user profile Execution timeout: 30 min (Windows only; macOS/Linux no built-in timeout) Set up: node scripts/install.mjs [--at HH:MM] [--global] Tear down: node scripts/uninstall.mjs Inspect: Get-ScheduledTask DailyBrief | fl or taskschd.msc GUI What NOT to do Don't console.log debugging that won't survive — use structured logger or write to logs/ Don't add process.exit(1) deep in a fetcher; let daily.ts 's per-source try/catch handle it Don't bypass runLlm (lib/ai/llm.ts) by importing a specific backend directly — that defeats the LLM_BACKEND switch and pins call sites to one provider Don't change the default backend silently; if user has Max subscription they almost certainly want claude-cli to keep using it. Switching to API costs them money Don't put AI-generated digest fields (hero_headline, editor_note, keywords) back into the HTML view — they're intentionally hidden. Still generated and live in <date>.json and <date>.md for archive Don't add Playwright / Puppeteer dependencies casually — project uses curl + JSON APIs to stay light",
    "variables": [],
    "opening_statement": "你好，我是 daily-brief，Operational knowledge for the daily-brief digest p...",
    "suggested_questions": [],
    "source": "DeepseekModel",
    "source_url": "https://deepseekmodel.com/skill?id=leiting-eric-dailybrief-claude-skills-daily-brief-skill-md"
}