talking-head-and-piece-to-camera
The on-camera delivery craft : helping a real human film themselves talking to a lens and look like...
What this skill does for you
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).
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the talking-head-and-piece-to-camera skill from social-media-skills/skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
Static scans check the code, not how well the skill works.
Scanner scope, raw findings and mirrored provider records
Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .
Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: 1. Counted findings: .
Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/social-media-skills/skills
- Pinned skill file
- View source at revision
- Revision
- 6e30eeb2f6736bda8683b6bbaa674af3641d7945
- Package hash
- sha256:29b50f602524323d077736e5171bb04c4310d267c877b0030aa262c4c3d4ba47
- Licence
- MIT