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Pair Programmer

  • 93 installs
  • 128 repo stars
  • Updated April 16, 2026
  • video-db/claude-code

Helps with ai & agent building tasks.

About

pair-programmer is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • pair-programmer
  • AI & Agent Building
  • AI-coding skill

Pair Programmer by the numbers

  • 93 all-time installs (skills.sh)
  • Ranked #4,706 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/video-db/claude-code --skill pair-programmer

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Listed on Skillselion
Installs93
repo stars128
Last updatedApril 16, 2026
Repositoryvideo-db/claude-code

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

VideoDB Pair Programmer

AI pair programming with real-time screen and audio context. Record your screen and audio, with AI-powered indexing that logs visual and audio events in real-time.

Commands

When user asks for a command, read the corresponding file for instructions:

CommandDescriptionReference
/pair-programmer recordStart screen/audio recordingSee commands/record.md
/pair-programmer stopStop the running recordingSee commands/stop.md
/pair-programmer searchSearch recording context (screen, mic, audio)See commands/search.md
/pair-programmer actAct on a spoken instruction from the micSee commands/act.md
/pair-programmer what-happenedSummarize recent activitySee commands/what-happened.md
/pair-programmer setupInstall deps and configure API keySee commands/setup.md
/pair-programmer configChange indexing and other settingsSee commands/config.md

How It Works

1. User runs /pair-programmer setup to install dependencies and set VIDEO_DB_API_KEY environment variable 2. User runs /pair-programmer record to start recording 3. A picker UI appears to select screen and audio sources 4. Recording starts and events are logged to /tmp/videodb_pp_events.jsonl 5. User can stop recording from the tray icon (🔴 PP → Stop Recording)

Output Files

PathContent
/tmp/videodb_pp_pidProcess ID of the recorder
/tmp/videodb_pp_events.jsonlAll WebSocket events (JSONL format)
/tmp/videodb_pp_info.jsonCurrent session info (session_id, rtstream_ids)

Event File Format

Events are written as JSONL (one JSON object per line):

{"ts": "2026-03-05T10:15:30.123Z", "unix_ts": 1709374530.12, "channel": "visual_index", "data": {"text": "User is viewing VS Code with auth.ts open"}}
{"ts": "2026-03-05T10:15:31.456Z", "unix_ts": 1709374531.45, "channel": "transcript", "data": {"text": "Let me check the login flow", "is_final": true}}

Environment Variables

The recorder reads these from environment variables:

VariableRequiredDescription
VIDEO_DB_API_KEYYesVideoDB API key
VIDEO_DB_BASE_URLNoAPI endpoint (default: https://api.videodb.io)

Reading Context

Events are in /tmp/videodb_pp_events.jsonl. Use CLI tools to filter — never read the whole file.

ChannelContentDensity
visual_indexScreen descriptionsDense (~1 every 2s)
transcriptMic speechSparse (sentences)
audio_indexSystem audio summariesSparse (sentences)

Channel filter — use grep to filter by channel, pipe to tail for recent events:

grep '"channel":"visual_index"' /tmp/videodb_pp_events.jsonl | tail -10

Keyword search — grep across all channels:

grep -i 'keyword' /tmp/videodb_pp_events.jsonl

Time-window filter — filter events from the last N minutes: 1. Get current epoch: $(date +%s) 2. Compute cutoff: epoch - N*60 3. Filter lines where the unix_ts JSON field exceeds the cutoff 4. Pipe through grep to narrow by channel

Generate the appropriate filtering command (grep, awk, python3, jq) based on complexity.

For semantic search across indexed content, use search-rtstream.js:

node search-rtstream.js --query="your query" --cwd=<PROJECT_ROOT>
<PROJECT_ROOT> is the absolute path to the user's project directory. This is NOT the skill directory — resolve it before running the command.

See commands/search.md for the full search strategy and CLI patterns.

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