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Biblioteka skilli
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evidence-explainer

/evidence-explainer

Zamienia nagranie głosowe w minutowe wyjaśnienie w pionie do TikToka lub Reels, z prawdziwymi zrzutami stron, logotypami i diagramem, które potwierdzają słowa.

Licencja
MIT
Ostatnia zmiana repozytorium
11.11.2026

Ocena i bezpieczeństwo

87/ 100Klasa: dobry
Format20 / 25
Frontmatter z nazwą i opisem, poprawna nazwa, opis do 1024 znaków, nazwa zgodna z folderem.
Odkrywalność17 / 25
Opis mówi, kiedy użyć skilla, ma sensowną długość i jest w 3. osobie.
Treść35 / 35
Co najmniej 150 słów i do 500 linii, nagłówki, listy kroków, przykłady albo kod.
Higiena15 / 15
Bez zaślepek typu TODO, bez ścieżek Windows, z licencją.
Ryzykobrak sygnałów w skanie
Pliki w paczce
4
Skrypty
0
Komentarze HTML
0
Adresy URL w SKILL.md
1
Przestarzałość

Brak sygnałów. Repozytorium zmienione 11.11.2026, bez odwołań do wycofanych modeli i API.

Licencja

MIT, otwarta: można używać i zmieniać, z zachowaniem informacji o autorze.

Co robi i kiedy

Zamienia nagranie głosowe w minutowe wyjaśnienie w pionie do TikToka lub Reels, z prawdziwymi zrzutami stron, logotypami i diagramem, które potwierdzają słowa.

Wyzwalacze z opisu

ka-ching
Oryginalny opis (EN)

Turn a voice note or audio clip (no camera footage needed) into a ~1-minute vertical explainer for TikTok / Reels / Shorts that PROVES what the speaker says - full-screen screenshots of real websites zoomed onto the exact line (with highlighter), company logos stamped in with a camera click, a step-by-step architecture diagram a lay person can follow, plain-English cards for every jargon word, a "ka-ching" on every successful money/transaction step, a hook first and a follow CTA last, word-by-word subtitles anchored to the bottom. Use whenever someone shares an audio recording / voice memo / p

Jak działa

  1. Setup
  2. The stages (read the reference when you get there)
  3. House style (from the creator's review of the first video — keep it unless told otherwise)
  4. Checkpoints (stop and ask, with a recommendation)
  5. Working principles
  6. Final summary format
Sekcje z nagłówków SKILL.md, w oryginale · 74 linii, 1 079 słów
Podgląd SKILL.md
---
name: evidence-explainer
description: Turn a voice note or audio clip (no camera footage needed) into a ~1-minute vertical explainer for TikTok / Reels / Shorts that PROVES what the speaker says - full-screen screenshots of real websites zoomed onto the exact line (with highlighter), company logos stamped in with a camera click, a step-by-step architecture diagram a lay person can follow, plain-English cards for every jargon word, a "ka-ching" on every successful money/transaction step, a hook first and a follow CTA last, word-by-word subtitles anchored to the bottom. Use whenever someone shares an audio recording / voice memo / podcast snippet / mp3 / m4a and asks for a TikTok, short, reel, explainer, "1 minute video", "video with evidence / receipts / sources / screenshots", "show the websites", "add logos", "make it easy for a lay person", or wants to explain how a product, fintech, payment flow, app or company works behind the scenes. Also for re-cutting or restyling an explainer made this way (zooms, sounds, logos, subtitles). Not for editing filmed talks or piece-to-camera footage (this builds the picture from evidence, not from a camera).
---

# Evidence explainer (voice note → 1-minute vertical video with receipts)

Built on "How Malawians get Visa cards with no forex" (11 Nov 2026): a 4:15 Android voice note → a 60.4 s TikTok with 10 web pages as evidence, Bridge's own architecture diagram, 9 logos, 4 chings. Worked example in `assets/examples/visa-cards/` (script + lay check, cut list, shoot jobs, full `video.json`, post copy, contact sheet).

```
voice note ─► transcribe + islands ─► SCRIPT + LAY CHECK (checkpoint) ─► cut voice (verified edges) ─► tempo + words
                                        │
                                        └► evidence: screenshots w/ target rects · logos · diagrams from docs
                                                                    │
                       video.json timeline (scenes, zooms, stamps, glosses, chings, diagram steps)
                                                                    │
                                  sfx + quiet score + mix ─► stills w/ safe zones ─► render ─► verify
```

## Setup
```bash
SK=~/.claude/skills/evidence-explainer
zsh $SK/scripts/new_explainer.sh "<audio file>" .context/<slug>     # ~1-3 min; prints disk free
cd .context/<slug>                                                  # every script runs from here (W)
```
Needs ffmpeg, Python 3 + numpy + Pillow, Node 20+, Chrome (Playwright drives the installed Chrome), whisper.cpp + `ggml-medium.en.bin` in `~/.cache/whisper.cpp` (`scripts/setup_whisper.sh` builds it; override with `WHISPER_DIR`). The scaffold runs `npm i` in `remotion/`, or clones an existing `node_modules` when `EXPLAINER_NODE_MODULES` points at one (APFS copy-on-write, ~0 bytes). Look = "dev mode" (`src/brand.ts`: dot grid, Space Mono, cyan/yellow/amber); handle/site come from `video.json`.

## The stages (read the reference when you get there)

| # | Stage | Read | Tools |
|---|---|---|---|
| 1 | Script the beats from `sent.txt`, then run the **lay-person check** | `references/01-script-and-lay-check.md` | — |
| 2 | Cut the voice to ≤ 60 s on verified edges, tempo, subtitles | `references/02-voice-cut.md` | `islands_labels.txt`, `dips.py`, `tx.sh`, `cut.py`, `voice.sh`, `words.py` |
| 3 | Evidence: screenshots + target rects, logos, docs diagrams | `references/03-evidence.md` | `shoot.mjs`, `logo_tools.py`, `logo.mjs`, `register_image.py` |
| 4 | Timeline in `remotion/src/video.json` | `references/04-video-json.md` | engine `src/Explainer.tsx` |
| 5 | Sound: clicks, chings, quiet score, mix | `references/05-sound.md` | `sfx_mix.py`, `score.py` |
| 6 | Preview with TikTok safe zones, render, verify | `references/06-render-verify.md` | `remotion/stills.mjs`, `sheet.py`, `verify.sh` |

Quick path once the script is agreed:
```bash
python3 $SK/scripts/cut.py cut.json && zsh $SK/scripts/voice.sh 1.18 "Names, Brands, Jargon"
python3 $SK/scripts/words.py word_fixes.json
node $SK/scripts/shoot.mjs shoot_jobs.json shots && cp shots/*.png remotion/public/shots/ && cp shots/shots.json remotion/src/shots.json
python3 $SK/scripts/logo_tools.py sync                      # after fetching logos
# write remotion/src/video.json, then:
python3 $SK/scripts/sfx_mix.py path/to/music.mp3          # or `none`
(cd remotion && npx tsc -p . && node stills.mjs 45,300,...) && python3 $SK/scripts/sheet.py stills --zones
(cd remotion && npx remotion render src/index.ts Explainer ../out/<slug>.mp4 --codec=h264 --crf=18 --audio-codec=aac --audio-bitrate=192k)
zsh $SK/scripts/verify.sh out/<slug>.mp4
```
A full render of 60 s takes ~40 s; stills ~1 s each after the bundle.

## House style (from the creator's review of the first video — keep it unless told otherwise)
- **Full-screen B-roll.** Screenshots fill the 1080×1920 frame (no browser card); the camera starts wide, then **zooms onto the line that proves the point** while a highlighter sweeps it. A slim `https://domain` pill + yellow `// evidence: …` tag sits top-left.
- **Logos land with a camera click** (white card, slight tilt, scale-down pop, white flash). Show more of them: every company named gets its logo once.
- **"Ka-ching" on every successful transaction** (account created, money received, wallet topped up, payment approved) with a green ✓ chip and ring.
- **Architecture for lay people.** One diagram (You → App → Infrastructure → Card), with logos in the nodes, built up step by step ("STEP 1 · SIGN UP"…), with labelled packets travelling between nodes. A provider's own developer diagram is shown only **zoomed into its plain-English boxes**, never whole.
- **Ask yourself after writing the script: will this clarify or confuse a lay person who uses the product?** Fix every "confuse" before building (gloss cards, simpler labels, no code styling). Put the check in the script file and in the summary.
- **Subtitles anchored to the bottom**: the box's bottom edge is fixed 400 px above the frame bottom (just over TikTok's username/caption block), 2-line pages grow upward, padded off the right action rail.
- **Hook first** (big dot-matrix word + the viewer's question over the first evidence, blurred), **follow CTA last** (logo chain recap, FOLLOW, handle, button, site).
- Music is a quiet bed (score.py BASE −26 LUFS): a loud dramatic score tested as "way too high and annoying".

## Checkpoints (stop and ask, with a recommendation)
1. **Script + lay check** before cutting anything: the beat table (what he says → what's on screen) and the confuse/clarify table.
2. **Claims you can't verify** (e.g. "app X uses provider Y"): keep them in his words, word the on-screen labels as "e.g." / "one example", and flag them.
3. **Before rendering**: stills of every new element with `--zones`.
4. **Before publishing**: logo licences (CC BY/BY-SA need a credit line), hedged claims ("most likely" stays visible), names Whisper misheard (captions use the right spelling even if he said it oddly). Upload only when asked.

## Working principles
- **Evidence over assertion**: every factual beat gets a page that says it, captured live, zoomed to the line. Prefer primary sources (company newsroom, official docs, the regulator/central bank, the app's store page) over blogs. Note what a page does NOT say (Bridge's country table = who can be onboarded, not card availability) and label accordingly.
- **Cut on verified edges only**: energy islands + bisected dips (`tx.sh`), never Whisper word times (they drift up to seconds on phone audio). Re-transcribe the final cut and the render.
- **Glosses are short and concrete**: "stablecoin = a digital dollar, 1 USDC ≈ $1", "KYC = the ID + selfie check you did when signing up", "API = a plug that lets apps use X".
- **Zoom limits**: a 1200 px mobile screenshot fills the frame at zoom 1.0 (it is already cropped ~36 px a side); paragraphs tolerate ≤ 1.3, short targets (a code line, a table row) 1.8–2.0. Check that the highlighted words and any key column (e.g. currency) stay inside the frame.
- **Verify, then report**: durations (video vs audio), −14 LUFS / peak ≤ −1, full transcript of the render, chings ≥ +5 dB over the voice, a contact sheet you looked at. Say what you chose by tag without listening (music).

## Final summary format
Deliverable path + length; a contact sheet image; what's on screen, beat by beat (short); the lay-person check verdict; "check before posting" (unverified claims, licences, hedges, misheard names); housekeeping (working dir, disk, re-render cost, which file to edit).
Pliki w paczce (4)
  • .gitignore 1 KB
  • LICENSE 1 KB
  • README.md 6 KB
  • SKILL.md 8 KB

Wersje

W bazie nie ma innych skilli o nazwie evidence-explainer.

Migawka bazy z 13.11.2026 · wersja paczki 5ab9cd8df076 (skrót SHA-256 całej paczki)

Pobrania w ostatnich 30 dniach: 0 · ranking

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Uwagi i zgłoszenia

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