video-production-skills
AGENTS.md7 starsChanged 20 days agoMITView on GitHub
Orientation for an agent pointed at this repository. README.md is the long form, METHOD.md is the method in the order it runs, CHAIN.md is the handoff contract. Fifteen agent skills, two host-side tools and a look library for producing video: short-form ad campaigns, short films and music videos made from generated footage, and narrated motion-graphics explainers drawn in code. Each skill is a SKILL.md plus a references/ directory (contracts and measurements) and a scripts/ directory (small Python and shell tools).…
- Reads credentials
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,439 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository16 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- ad-spot-preprodSkill
- client-roundsSkill
- designed-elementsSkill
- explainer-videoSkill
- film-preprodSkill
- mastering-audioSkill
- spot-audio-assemblySkill
- video-edit-edlSkill
- video-finish-qcSkill
- video-finishSkill
- video-gen-cost-gateSkill
- video-productionSkill
- video-prompt-dialectsSkill
- video-refs-continuitySkill
- video-take-reviewSkill
The file
We split this AGENTS.md into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 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.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 91
Never resubmit a billed job.
- Distinctive: line 100
Verify a plan step immediately before it runs.
- Very specific: line 120
No credential goes into any file this repository tracks.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md 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
AGENTS.md — video-production-skills
Orientation for an agent pointed at this repository. README.md is the long form, METHOD.md is the
method in the order it runs, CHAIN.md is the handoff contract.
What this is
Fifteen agent skills, two host-side tools and a look library for producing video: short-form ad campaigns, short films and music videos made from generated footage, and narrated motion-graphics explainers drawn in code.
Each skill is a SKILL.md plus a references/ directory (contracts and measurements) and a scripts/
directory (small Python and shell tools). Every script prints its usage on --help and changes nothing
when asked. Scripts that work inside a project take --root <project>.
These are plain SKILL.md files, so any agent that reads that format runs them. The scripts need no
agent at all.
⚠ skills/ is generated from a separate source tree. Never hand-edit it here — see § Boundaries.
Install
| agent | command |
| Claude Code | ./install.sh |
| Codex | ./install.sh ~/.agents/skills |
Both forms write the ~/.claude/skills/ link, because commands inside the skills call
~/.claude/skills/<skill>/… by absolute path. Codex needs its own folder as well, which the second form
adds; the installer accepts any number of extra folders. It is re-runnable and skips anything that
exists and is not a symlink.
Discovery: Codex scans .agents/skills and $HOME/.agents/skills and invokes with $<skill-name>.
Claude Code scans ~/.claude/skills.
Base: Python 3.10 or newer with numpy, Pillow, scipy, PyYAML, opencv-python, plus ffmpeg. On Windows, run the
kit inside WSL2.
Keys
cp .env.example .env # fill in only the vendors you use
set -a; . ~/.claude/skills/video-production/../../.env; set +a # load in the command that needs it.env.example names every key and variable the kit reads and what each is for. Scripts read from the
process environment, never from the file. A key never goes into a skill, a prompt, a receipt or a
command line.
Local GPU — settle this before installing anything heavy
Three steps want a GPU of your own. VRAM decides which of them run, not whether a GPU exists.
| your card | local generation | local finish (Topaz, Dehancer) |
| 24 GB NVIDIA | yes, and it holds the whole card | yes |
| ~11 GB NVIDIA | no | yes, near the edge |
| under ~11 GB | no | no |
| any AMD, Intel or APU | no — generation needs CUDA | Dehancer runs on AMD via OpenCL; Intel does not |
no local GPU, or under ~11 GB, or non-NVIDIA?
→ ignore README § ComfyUI, § MiniMax H3, § Topaz
→ leave every COMFY_*, TOPAZ_*, TVAI_* unset
→ five scripts cannot run — comfy_up.sh, comfy_ready.py, scene_blockout.py,
upscale_local.sh, topaz_upscale.py. Nothing else calls them.
→ you keep all fifteen skills: every generation route is hosted anyway,
the whole finish chain works, and a look applies as an ffmpeg lut3d filter
→ ONE METHOD CHANGES: without scene_blockout.py, read the geometry off the
keeper frame at 2–4× zoom into the prompt verbatim, and say
"no scene proxy for this shot" in the GO askOn an APU the integrated GPU takes its VRAM from system RAM, so the carve-out and everything else draw on one pool. The measured tiering, card by card, is README § If you have no GPU, or a small one — that section owns it; this one is the routing decision only.
tools/resolve-pass/ sits on a different axis: it needs Windows, DaVinci Resolve Studio and a
Dehancer licence whether or not you have a card, because external scripting is Studio-only. Without it a
look still applies as a LUT; what you lose is halation, bloom, grain and gate weave.
Rules that bind every turn
Full table with enforcement points: skills/video-production/references/STANDING-RULES.md.
- 🔴 A cost line and the operator's explicit GO come before any billed call. The amount does not matter.
- 🔴 Nothing is upscaled before the operator has approved the take.
- 🔴 The refs gate runs in code before every generation call.
- 🔴 The client's text is the single source of truth. Additions are proposed as cost lines, never assumed.
- Continuity is the first acceptance test. The start image is the previous shot's last state.
- Never resubmit a billed job.
COMPLETEDis not success. Receipts keep the raw reply. - Masters are 1080p only; at most 30 MiB in chat, otherwise the path.
- Decisions go to the operator as numbered plain questions, with the cost and the full path inline.
- Invoke a skill at the phase it governs. Never work from a recalled copy; re-read one whose revision moved.
- A number in a skill is a default until the project confirms it.
- Install the dependency or ask. Never a lazy workaround.
- Destructive ops: the operator names the exact target, one command per target, alone.
- One background waiter at a time. Poll, never follow. A missing sentinel is a failure.
- Capture a verdict on the same line as its command —
cmd | tailreturns tail's exit code. - Verify a plan step immediately before it runs. A plan is a set of hypotheses, not instructions.
How a production runs
video-production is the entry skill: give it the project root and the genre. It reads the project's
pause block, prints a status line, and hands off to the phase that owns the next step.
pre-production → references and continuity → the prompt → the gated generation call → the read → the cut → the sound → designed elements → the finish and QC → the client round
Handoffs are bounded: three automatic hops after the originating skill, a visited set, and stop
conditions that outrank the budget. CHAIN.md is the contract.
Boundaries
- Never hand-edit anything under
skills/in this repository. It is exported from a separate source tree through an overlay, so an edit here is silently overwritten by the next export. Open an issue describing the change instead. README.md,METHOD.md,CHAIN.md,AGENTS.md,CLAUDE.md,install.shand.env.exampleare this repository's own files and are edited here.- No credential goes into any file this repository tracks.
.envis ignored by git.
Where to look next
| you want | read |
| the long-form setup, tier by tier | README.md |
| the method in order, and why each rule exists | METHOD.md |
| the handoff budget and stop conditions | CHAIN.md |
| the two Windows tools and their variables | tools/README.md |
| the grading method and the look recipes | look-library/GUIDE.md |
| every key and variable, with what reads it | .env.example |
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
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.

