ai-image-editing
The AI image-editing router — inpainting/object removal, background removal, upscaling, outpainting, old-photo restoration, and retouch, routed task-first to…
The on-camera delivery craft — helping a real human film themselves talking to a lens and look like themselves doing it. Use when someone wants a "talking head video" or "piece to camera," says "film myself" or "I look stiff on camera," asks about a teleprompter, framing,
$ npx -y skills add social-media-skills/skills --skill talking-head-and-piece-to-camera --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/talking-head-and-piece-to-cameraContext preview
The summary Claude sees to decide when to auto-load this skill.
The on-camera delivery craft — helping a real human film themselves talking to a lens and look like themselves doing it. Use when someone wants a "talking head video" or "piece to camera," says "film myself" or "I look stiff on camera," asks about a teleprompter, framing,
name: talking-head-and-piece-to-camera description: >- The on-camera delivery craft — helping a real human film themselves talking to a lens and look like themselves doing it. Use when someone wants a "talking head video" or "piece to camera," says "film myself" or "I look stiff on camera," asks about a teleprompter, framing, lighting, audio, or retakes, or wants to batch-film videos. Uses the TAKES framework. Phone-first: gear is almost never the bottleneck. Reads brand-profile + voice-builder first; takes its script from short-form-video-script (that writes it, this delivers it). The agent coaches setup + delivery, formats prompter/beat-map scripts, and plans batch days; the HUMAN films and picks the take (the agent cannot see footage); WoopSocial publishes the finished file. Camera-shy? Route honestly to heygen/synthesia or faceless formats. Never fabricates "that take looks great." Distinct from scripting-and-storyboarding (the shoot plan), heygen/synthesia (avatars), and captions-and-clipping/capcut/descript (the edit). version: 1.0.0
The **on-camera delivery craft** — tape the setup, anchor the map (not the lines), kick the first 3 seconds, embrace the retake rules, stack the batch. The **script** comes from `short-form-video-script`; the **human** films and picks the take; **WoopSocial publishes** the finished file.
A talking head works because a real face builds parasocial trust an avatar can't (that's exactly why `synthesia` routes trust-led founder content here). Three truths most first-timers get backwards. First, **gear is not the bottleneck** — a phone at eye level, facing a window, with a cheap lav mic outperforms an expensive camera set up wrong; viewers forgive soft video and never forgive bad audio. Second, **reading kills it** — memorize the *map* (the beats), not the lines; a word-for-word read shows in the eyes, and a slightly imperfect riff reads as human. Third, **the good-enough take ships** — take 4 is usually worse than take 2 because energy decays faster than delivery improves; perfectionism is a retention strategy for exactly nobody. Deliver 20% more energy than feels natural, talk to one person, and publish the take where you sound like yourself.
1. **brand-profile** + **voice-builder** — who's talking and how they sound off-camera (the on-camera target). 2. **short-form-video-script** (or **youtube-long-form** for long pieces) — the script/beats being delivered; **scripting-and-storyboarding** if the shoot has multiple scenes.
(Depth: `references/the-takes-framework.md`.)
behind you); mic close (wired lav or phone ≤60cm); quiet room > any mic; clean-but-real background with depth; vertical 9:16, eyes in the top third, caption-safe zones clear.
middle. Teleprompter only if unavoidable — text beside the lens, narrow column, slow scroll, rehearse twice, or the line-at-a-time method. Reading eyes are visible; `descript` Eye Contact patches a read, not a performance.
the hook fresh, first, every session. Smile-then-speak; hands visible; deliver to ONE person behind the lens.
(clap between takes to mark them); the three-strike rule — a line that fails 3× is a writing problem, send it back to `short-form-video-script`; ship the good-enough take.
posts don't look same-day; stop at ~60–90 min when energy dies. Plan with **batch-content-plan** / **content-calendar**.
Any recent phone shoots 4K that out-resolves every social feed; audio drives perceived quality more than image (creator consensus — attribute); a below-eye lens reads as looming, backlit windows silhouette you; on-camera energy reads ~20% flatter than it feels (broadcast coaching convention); take quality typically peaks by take 2–3 then decays with energy; batch sessions fade after ~60–90 minutes — **directional, attribute, verify-quarterly.** Full figures + phone-first setup specifics: `references/talking-head-2026-reality.md`. Batch-day recipe, setup recipes (desk / walking / car), and camera-shy on-ramps: `references/batch-filming-and-recipes.md`.
and batch plans, and gives a self-review checklist. The **human** films, performs, and picks the take. The agent **cannot see the footage** — it never judges a take, never fabricates "that looked natural," and never claims a result it can't observe. **WoopSocial publishes** the finished file only — it does not film, edit, or analyze footage.
camera-shy human onto camera (route to avatars/faceless honestly), or skip **consent** for anyone else who appears on camera. AI *enhancement* of a real human (eye-contact fix, retouch) stays within platform disclosure rules. (Full scope: `references/scope-and-connections.md`.)
L&D lane) for a disclosed avatar, or to faceless formats (screen-record / B-roll + `ai-voiceover`). Offer the gentle on-ramp — voice-only first, then h
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