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watchers
Poll RSS, JSON APIs, and GitHub with watermark dedup.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
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Poll RSS, JSON APIs, and GitHub with watermark dedup.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
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Knowledge comics (知识漫画): educational, biography, tutorial.
Generate flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and non-software visuals — physics setups, chemistry mechanisms, math curves, physical objects (aircraft, turbines, smartphones, mechanical watches), anatomy, floor plans, cross-sections, narrative journeys (lifecycle of X, process of Y), hub-spoke system integrations (smart city, IoT), and exploded layer views. If a more specialized skill exists for the subject (dedicated software/cloud architecture, hand-drawn sketches, animated explainers, etc.), prefer that — otherwise this skill can also serve as a general-purpose SVG diagram fallback with a clean educational look. Ships with 15 example diagrams.
Generate project ideas via creative constraints.
Create HTML-based video compositions, animated title cards, social overlays, captioned talking-head videos, audio-reactive visuals, and shader transitions using HyperFrames. HTML is the source of truth for video. Use when the user wants a rendered MP4/WebM from an HTML composition, wants to animate text/logos/charts over media, needs captions synced to audio, wants TTS narration, or wants to convert a website into a video.
| name | watchers |
| description | Poll RSS, JSON APIs, and GitHub with watermark dedup. |
| version | 1.0.0 |
| author | NasTech Agent |
| license | MIT |
| platforms | ["linux","macos"] |
| metadata | {"nastech":{"tags":["cron","polling","rss","github","http","automation","monitoring"],"category":"devops","requires_toolsets":["terminal"],"related_skills":[]}} |
Poll external sources on an interval and react only to new items. Three ready-made scripts plus a shared watermark helper; wire them into a cron job (or run them ad-hoc from the terminal).
A watcher is just a script that:
The scripts below handle all three. The agent runs them via the terminal tool — from a cron job, a webhook, or an interactive chat — and reports what's new.
All three live in $NASTECH_HOME/skills/devops/watchers/scripts/ once the skill is installed. Each reads WATCHER_STATE_DIR (defaults to $NASTECH_HOME/watcher-state/) for its state file, keyed by the --name argument.
| Script | What it watches | Dedup key |
|---|---|---|
watch_rss.py | RSS 2.0 or Atom feed URL | <guid> / <id> |
watch_http_json.py | Any JSON endpoint returning a list of objects | Configurable id field |
watch_github.py | GitHub issues / pulls / releases / commits for a repo | id / sha |
All three:
## <title>\n<url>\n\n<optional body> per itemRun a watcher directly from the terminal tool:
python $NASTECH_HOME/skills/devops/watchers/scripts/watch_rss.py \
--name hn --url https://news.ycombinator.com/rss --max 5
Watch a GitHub repo (set GITHUB_TOKEN in ~/.nastech/.env to avoid the 60 req/hr anonymous rate limit):
python $NASTECH_HOME/skills/devops/watchers/scripts/watch_github.py \
--name nastech-issues --repo NasTech-AI/nastech-agent --scope issues
Poll an arbitrary JSON API:
python $NASTECH_HOME/skills/devops/watchers/scripts/watch_http_json.py \
--name api --url https://api.example.com/events \
--id-field event_id --items-path data.events
Ask the agent to schedule a cron job with a prompt like:
Every 15 minutes, run
watch_rss.py --name hn --url https://news.ycombinator.com/rss. If it prints anything, summarize the headlines and deliver them. If it prints nothing, stay silent.
The agent invokes the script via the terminal tool inside the cron job's agent loop; no changes to cron's built-in --script flag are needed.
Every watcher writes $NASTECH_HOME/watcher-state/<name>.json. Inspect:
cat $NASTECH_HOME/watcher-state/hn.json
Force a replay (next run treated as first poll):
rm $NASTECH_HOME/watcher-state/hn.json
All three scripts use the same template: load watermark, fetch, diff, save, emit. scripts/_watermark.py is the shared helper; import it to get atomic writes + bounded ID set + first-run baseline for free. See any of the three reference scripts for how little boilerplate it takes.
--prime-with-latest N flag in your own script.$NASTECH_HOME/watcher-state/ is always writable. Docker/Modal backends may not see arbitrary host paths.