Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add palmier-io/palmier-skills --skill create-skill-from-timelinegit clone --depth 1 https://github.com/palmier-io/palmier-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/palmier-io/palmier-skills/create-skill-from-timeline)<a href="https://agentmods.dev/skills/palmier-io/palmier-skills/create-skill-from-timeline"><img src="https://agentmods.dev/badge/skills/palmier-io/palmier-skills/create-skill-from-timeline/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/palmier-io/palmier-skills/create-skill-from-timeline"><img src="https://agentmods.dev/badge/skills/palmier-io/palmier-skills/create-skill-from-timeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00091 | $0.02102 |
| Opus 5 | $0.00046 | $0.01051 |
| Sonnet 5 | $0.00018 | $0.00420 |
| Haiku 4.5 | $0.00009 | $0.00210 |
Grade A, and why
create-skill-from-timeline scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create a skill from a timeline
A skill is a playbook another agent can follow with no prior context. Superficial notes ("add captions", "make it vertical") fail. Capture exact values and editorial judgment — what was chosen, cut, kept, and why.
Success criteria
A good skill must support both:
- Same footage, zero context — another agent rebuilds this video from the original media using only the skill.
- New footage, same style — another agent produces the same kind of edit on different sources with only light adaptation notes.
If either fails, the skill is incomplete.
Workflow checklist
- [ ] 1. Confirm scope with the user (which timeline / version)
- [ ] 2. Gather history — chat + tool trail that produced the edit
- [ ] 3. Inventory the finished timeline (get_timeline, tracks, nesting)
- [ ] 4. Inventory raw library media (get_media, inspect_media)
- [ ] 5. Diff source vs timeline — selection criteria
- [ ] 6. Read the spoken arc (get_transcript) — keep/cut rules
- [ ] 7. Capture hard numbers — layout, text, color, keyframes, cams
- [ ] 8. Infer structure + pacing + tool path
- [ ] 9. Draft SKILL.md (frontmatter + exact procedure)
- [ ] 10. Self-test: could a stranger recreate this from the skill alone?
Step 1: Confirm scope
Ask only if unclear:
- Which timeline? (active vs a named alternate / 9:16 version)
- Skill goal: recreate this piece, generalize a style, or both?
- Anything off-limits (brand assets, one-off jokes, temp VO)?
Then lock that timeline with set_active_timeline if needed and re-read get_timeline.
Step 2: Recover how it was built
Prefer evidence over invention:
- Chat / tool history in this session — layouts chosen, caption styles, cut passes, model prompts, rejected alternatives.
- User intent statements — "tighter", "speaker cam only", "hook first" — these become rules, not vibes.
- If history is missing, reconstruct from the timeline alone and say so in the skill under Assumptions.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 219 lines · 91 tokens per session scan A f1fecf5839ba
create-skill-from-timeline is a skill published in the GitHub repository palmier-io/palmier-skills (64 stars, last pushed 10d ago), licensed Apache-2.0. It adds 91 tokens to every session and 2,102 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.