cinematic-pack-authoring
Skill7 starsChanged 48 days agoMITView on GitHub
Author a Slopcamera spatial recipe pack — a bounded, inert, content-addressed JSON document that names an admitted scene, one direction document, gallery axes, preview render requests, declared effects, and a temporal audit — then plan or run the built-in cinematic-world workflow. Use when a user asks an agent to direct a 3D scene, iterate camera/look/sequence variants, or review compiled direction before explicit selection.
1 other project uses a version of this.
Other versions1 project uses a version of this.
Word for word · 1
- hraness/slopcamera★ 7100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository29 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .agents/skills/AGENTS.mdAGENTS.md
- .agents/skills/cinematic-pack-authoring/AGENTS.mdAGENTS.md
- .agents/skills/percolate-kb/AGENTS.mdAGENTS.md
- .agents/skills/phase-final-reviewer/AGENTS.mdAGENTS.md
- .agents/skills/phase-implementer/AGENTS.mdAGENTS.md
- .agents/skills/phase-orchestrator/AGENTS.mdAGENTS.md
- .agents/skills/phase-reviewer/AGENTS.mdAGENTS.md
- .agents/skills/plan-kb/AGENTS.mdAGENTS.md
- .agents/skills/query-kb/AGENTS.mdAGENTS.md
- .agents/skills/refresh-kb/AGENTS.mdAGENTS.md
- .agents/skills/save-pdf-kb/AGENTS.mdAGENTS.md
- .agents/skills/save-url-kb/AGENTS.mdAGENTS.md
- .agents/skills/write-phase-plan/AGENTS.mdAGENTS.md
- kb/AGENTS.mdAGENTS.md
- src/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- percolate-kbSkill
- phase-final-reviewerSkill
- phase-implementerSkill
- phase-orchestratorSkill
- phase-reviewerSkill
- plan-kbSkill
- query-kbSkill
- refresh-kbSkill
- save-pdf-kbSkill
- save-url-kbSkill
- write-phase-planSkill
- slopcameraSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 88
Run executes the graph: inspection, direction check, compilation, one gallery plan per axis, per-preview effects binding and render, and …
≈ “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
Author a cinematic recipe pack
Slopcamera's extension surface is declarative: coding agents extend behavior by
authoring bounded JSON documents, never by registering code. The operation
registry is closed, and the cinematic-world workflow composes only registered
operations. A recipe pack is the complete input contract for that loop.
Documents an agent authors
- Scene (
slopcamera.spatial-scene, schemaVersion 1) — the admitted world. Usually already admitted throughslopcamera scenecommands; the pack binds it by digest, it is never embedded twice. - Direction (
slopcamera.spatial-direction, schemaVersion 1) — semantic beats, actions, camera coverage, and look intents.projectDigestmust equal the scene's canonical SHA-256. Character and subject references are semantic ids (hero), which compile againstentity_hero-style scene entities. - Recipe pack (
slopcamera.spatial-recipe-pack, schemaVersion 1) — the inert plan document:
{
"kind": "slopcamera.spatial-recipe-pack",
"schemaVersion": 1,
"packId": "recipe_<slug>",
"sceneSha256": "<canonical scene sha-256>",
"direction": { "<the direction document>" },
"cameraId": "camera_main",
"axes": ["camera", "lighting"],
"previews": [{
"name": "reel",
"request": {
"cameraId": "camera_main",
"mode": { "kind": "beauty" },
"selection": { "kind": "frame", "timeUs": 0 }
}
}],
"effects": {
"renderPlan": {
"kind": "slopcamera.spatial-render-plan",
"schemaVersion": 1,
"quality": {
"outputBytes": 8000000, "particleCount": 0, "pixelBudget": 2073600,
"simulationSteps": 0, "texturePixelBudget": 2073600, "tier": "preview"
}
},
"particleSystems": [],
"simulationBakes": []
},
"temporalAudit": { "timesUs": [0, 2000000, 4000000] }
}Boundaries the pack enforces
axes— 1 to 6 unique values fromperformance | camera | lighting | materials | effects | sequence.previews— at most 4 named render requests; eachrequestis revalidated against the spatial render-request schema at workflow admission.effects— optional; when present it requiresrenderPlan(a declarativeslopcamera.spatial-render-plandocument with a quality tier and optional post-process stack) plus boundedparticleSystems/simulationBakes. Each preview render first plans an integrity-bound effects document (scene.effects.plan) and renders with it.temporalAudit— optional; requirescameraId;timesUsbounds to 64 samples.packId—recipe_prefix, at most 64 slug characters.
Invoking the workflow
The workflow input is { "pack": <pack>, "scene": <scene>, "source": { "path": "<repo-relative scene path>" } }.
pack.sceneSha256 must equal the canonical scene digest, so compute it first:
slopcamera scene inspect <scene.json> --json # read sceneSha256Plan is effect-free — it compiles the graph and reports requirements only:
slopcamera workflows plan cinematic-world --input input.json --jsonRun executes the graph: inspection, direction check, compilation, one gallery plan per axis, per-preview effects binding and render, and the temporal audit.
slopcamera workflows run cinematic-world --input input.json --jsonWhat the workflow never does
- It never selects or promotes a candidate.
spatial.project.select-candidateanditeration.selectare separate explicit operations a caller invokes after reviewing the plan outputs. - Compiled direction stays
verified: false; it is a proposal document, not applied state. - Planning and graph compilation execute no operations, read no credentials, contact no providers, and mutate no project state.
Does it work?
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Your trail
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

