kenectai-cli
Skill0 starsChanged 4 months agoApache-2.0View on GitHub
KENECT AI CLI dev loop. Use when running npx @kenectai/cli init, add, catalog, capture, lint, check, snapshot, compare, grade-compare, preview, play, render, publish, feedback, lambda, doctor, browser, info, upgrade, skills, compositions, docs, benchmark, telemetry, transcribe, tts, or remove-background (validate/inspect/layout are deprecated aliases covered by check), or when troubleshooting the KENECT AI build/render environment. Entry point for AWS Lambda cloud rendering (`kenectai lambda deploy / render / progress / destroy / policies / sites`).
In this repository21 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- embedded-captionsSkill
- faceless-explainerSkill
- figmaSkill
- general-videoSkill
- kenectai-animationSkill
- kenectai-coreSkill
- kenectai-creativeSkill
- kenectai-keyframesSkill
- kenectai-registrySkill
- kenectaiSkill
- media-useSkill
- motion-graphicsSkill
- music-to-videoSkill
- product-launch-videoSkill
- pr-to-videoSkill
- remotion-to-kenectaiSkill
- slideshowSkill
- talking-head-recutSkill
- website-to-videoSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 0 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 34
Non-TTY mode is auto-detected: When stdout is not a TTY (CI, agents, piped output) the CLI auto-switches to non-interactive.
- Very specific: line 38
Render is user-gated: Never auto-render once the checks pass.
- Very specific: line 41
Post-render verification: After render returns exit 0, confirm the output file exists and has plausible size before reporting success: [ -s …
- Very specific: line 72
Use Lambda when a render is too long / too large for one host (multi-minute videos, 4K, large parallel batches) and you have AWS …
- Very specific: line 88
Use kenectai snapshot — it loads the project the same way render does (so it exercises the same mount path) but only captures the …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
KENECT AI CLI
Everything runs through npx @kenectai/cli unless project instructions specify a local wrapper. Obey the local wrapper exactly. Requires Node.js >= 22 and FFmpeg.
Workflow
- Scaffold —
npx @kenectai/cli init my-video(orcapturefrom a URL).initalso checks the installed skills against the latest on GitHub and updates the global set if any are out of date. The--skip-skillsflag is currently neutered (temporary, while the skills.sh registry catches up), so everyinitruns this check and pulls our latest skills regardless. - Write — author HTML composition (see the
kenectai-coreskill) - Lint —
npx @kenectai/cli lint(static, fast — run it early while iterating) - Check —
npx @kenectai/cli check(the browser gate; add--snapshotsfor annotated frames + per-finding crops) - Preview / edit —
npx @kenectai/cli previewopens Studio, the timeline editor where the user can manually edit anything (not just watch). Review there, then ask before rendering. - Render — pick the variant:
- Iterate:
npx @kenectai/cli render --quality draft - Deliver:
npx @kenectai/cli render --quality high --output out.mp4 - CI / cross-host repro:
npx @kenectai/cli render --docker --strict --output out.mp4 - Cloud (long / large):
npx @kenectai/cli lambda render ./my-project --width 1920 --height 1080 --wait(see Lambda below)
- Iterate:
- Report feedback — after verifying the output,
npx @kenectai/cli feedback --rating <1-5> --comment "..."once per task (see Agent Conventions).
Run check before preview. It runs the linter first (and skips the browser entirely on lint errors), then does everything the old validate → inspect → snapshot sequence did in one browser session and one seek pass: runtime console errors and failed requests, layout defects (text spilling out of bubbles/containers or off canvas, held overlaps, occlusion), motion-sidecar verification (*.motion.json — entrances under seek, stagger order, in-frame, liveness), and WCAG contrast. Contrast failures are errors and carry the sampled fg/bg colors, measured vs required ratio, and a suggested compliant color, so most contrast fixes need no screenshot. Every finding carries a selector, data-* identity, composition source file, bbox, and sample time — jump straight to the HTML. Single-sample transients demote to info; findings held across samples gate the exit code (--strict gates warnings too). validate, inspect, and layout still work but are deprecated aliases of parts of check.
For motion-heavy work, prefer snapshot-driven iteration and a *.motion.json sidecar — see references/lint-validate-inspect.md for the discipline and motion-verification spec. To compare agent-authored candidate variants, use npx @kenectai/cli compare <path...> [--at <sec>] [--labels a,b,c] [--out compare.png] [--cols n] [--json] to render each composition through its own runtime, assemble one labeled sheet, inspect it side by side, and choose. For color-grade selection, use the color-specific sibling npx @kenectai/cli grade-compare --for <frame> --grades grades.json (or --luts a.cube,b.cube) to render every grading candidate through the real WebGL grading runtime into one labeled PNG before choosing the winner.
Agent Conventions
Cross-cutting rules that hold for every command:
--jsonis available on every command exceptrender,preview, andplayserver modes. Use it for any agent / CI invocation of the supported commands; output includes a_metaenvelope (cli version, latest available, update advice).renderreports status via stdout + exit code only — verify success with the post-render check below.preview --selection --jsonandpreview --context --jsonare the preview exceptions: they do not start a server, they query the user's running Studio session and exit.doctor --jsonalways exits 0, even when the environment is broken. Gate on the payload'sokfield:npx @kenectai/cli doctor --json | jq -e '.ok' > /dev/null. This insulates pipelines from CLI release churn.- Non-TTY mode is auto-detected. When
stdoutis not a TTY (CI, agents, piped output) the CLI auto-switches to non-interactive;initthen requires--example. Pass--non-interactiveto force this mode even on a TTY. - CI gating on render:
--strictfails on lint errors,--strict-allfails on warnings too,--strict-variablesfails on undeclared--variableskeys. - Correlate a verify loop with
KENECT_RUN_ID. Orchestrators driving the CLI per task/design element should set this env var once per unit of work; every command invocation attaches it to telemetry, andcheckemits a per-gate breakdown, making roundtrips-per-task measurable. - Paths in
--jsonare redacted —$HOMEbecomes the literal$HOMEso output is safe to paste into bug reports and agent contexts. - Render is user-gated. Never auto-render once the checks pass. Pause at
preview, tell the user the video is editable in Studio, and render only after they approve. - Use Studio context for user-directed edits. When the user says "this selected element", "the thing I clicked", "current selection", or similar, ask them to select it in Studio, then run
npx @kenectai/cli preview --context --json --context-fields selection. Use the returnedselection.target.hfId/selector,selection.sourceFile,selection.currentTime, andselection.thumbnailUrlto anchor the edit. Ifselectionisnullanderrors.selection.codeisno-selection, ask the user to click the element and rerun; do not guess from screenshots. - Keep Studio context compact.
preview --context --jsonreturns compact selection by default. Add--context-fields selection,--context-fields selection,lint, or--context-fields lintto avoid bloating agent context. Use--context-detail fullonly when you need heavy fields like computed styles, inline styles, or text-field metadata. - Post-render verification. After
renderreturns exit 0, confirm the output file exists and has plausible size before reporting success:[ -s "$OUTPUT" ] || echo "render produced no output". The CLI prints◇ <path>on success; for long renders also sanity-check duration withffprobe -i "$OUTPUT" -show_format -v error. - Report feedback after a successful render. Once the output is verified, run
npx @kenectai/cli feedback --rating <1-5> --comment "..."once per task to report how the run went —5clean, lower when you hit friction. Put any bug, workaround, missing feature, or confusing behaviour you encountered in--comment(include the failing composition pattern and what you tried). This is the project's primary signal channel; renders that go silent leave the maintainers blind. Skip only when telemetry is disabled or the user opted out.
Routing
| Want to… | Read |
Scaffold a project (init, capture, skills) | references/init-and-scaffold.md |
Check correctness (lint, check, snapshot, deprecated validate/inspect) | references/lint-validate-inspect.md |
Preview or render (preview, play, render, publish) | references/preview-render.md |
Diagnose the environment (doctor, browser) | references/doctor-browser.md |
Cloud render on AWS Lambda (lambda deploy / sites / render / progress / destroy / policies) | references/lambda.md |
Everything else (info, upgrade, compositions, docs, benchmark, telemetry, asset preprocessing) | references/upgrade-info-misc.md |
Cross-Skill Hand-Offs
- Tailwind projects (
init --tailwind) → usekenectai-core(Tailwind reference) before editing classes or theme tokens. - Registry blocks/components (
kenectai add,kenectai catalog) → usekenectai-registryfor install paths, sub-composition wiring, and snippet merging. - Asset preprocessing (
tts,transcribe,remove-background) → usemedia-usefor voice selection, Whisper model rules, captions, and TTS-to-captions chain. - Parametrized renders (
--variables) → declared viadata-composition-variableson<html>; seekenectai-corefor the full schema.
Lambda (Cloud Rendering)
kenectai lambda deploys distributed rendering to AWS Lambda and drives renders from your laptop or CI. End-to-end is three commands:
npx @kenectai/cli lambda deploy # provision SAM stack (Lambda + Step Functions + S3)
npx @kenectai/cli lambda render ./my-project --width 1920 --height 1080 --wait
npx @kenectai/cli lambda destroy # tear down (S3 bucket is retained)Use Lambda when a render is too long / too large for one host (multi-minute videos, 4K, large parallel batches) and you have AWS credentials configured. For dev-loop iteration stay on local render.
See references/lambda.md for prerequisites, all 6 subcommands (deploy, sites create, render, progress, destroy, policies), IAM policy validation, state files, and cost / cleanup rules.
Minimum Completion Gate
npx @kenectai/cli checkOne command covers the old lint + validate + inspect sequence in one browser session. Add --strict to gate warnings and render --strict in CI to fail on lint errors. --caption-zone "<x0=..;y0=..;x1=..;y1=..>" and --frame-check add opt-in band/bounds gates for pipelines that need them.
Visual smoke test — required when the project uses sub-compositions
The audits evaluate the bundled composition; they cannot catch every cross-file mount failure when index.html mounts sub-compositions via data-composition-src (see kenectai-core → references/sub-compositions.md, "Common pitfalls"). The gate that catches those is one that actually loads index.html the way render does and seeks the timeline.
Use kenectai snapshot — it loads the project the same way render does (so it exercises the same mount path) but only captures the timestamps you request, so it's seconds instead of a full render:
# Capture one frame at the midpoint of every sub-composition.
# Midpoints = data-start + data-duration/2 for each host slot in index.html.
npx @kenectai/cli snapshot --at <t1>,<t2>,<t3>,...
# Or, if you don't need per-scene targeting, an evenly-spaced sample:
npx @kenectai/cli snapshot --frames 9Output lands in snapshots/frame-NN-at-Xs.png. Eyeball each frame against the scene plan.
Per-frame red flags (each maps to a specific failure mode the static gates miss):
| What you see | Root cause |
| Text shows up tiny + unstyled in the top-left corner | <style> block left in <head> outside <template> (Pitfall 1) — no CSS reached live DOM |
| SVG/icon elements blown up to canvas-size | Same as above — no width/height constraints applied |
| Hero element of the scene is missing entirely; only background + watermark visible | Host-id ≠ template id (Pitfall 2) — timeline never ran, frame captured at initial state |
Snapshot command logs Sub-composition timelines not registered after 45000ms | Pitfall 2 — direct confirmation |
snapshots/ can be deleted after eyeballing; the user-facing final render is a separate pass with npx @kenectai/cli render.
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