timebuzzer-led/SKILL.md
Control timeBuzzer hardware LED via MIDI — set color, effects (pulse, strobe, rainbow, fade), and semantic status signals. Use when the user asks to change the buzzer LED color, signal status through the buzzer, or sync the buzzer with other lighting.
npx skillsauth add glebis/claude-skills timebuzzer-ledInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Control the timeBuzzer hardware LED over MIDI. The device has 3 RGB segments controllable independently or together.
python-rtmidi installed (pip install python-rtmidi)Single CLI: scripts/buzzer_led.py
python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py color red
python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py color --hex "#FF8800"
python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py rgb 255 100 0
python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py off
Named colors: red, orange, yellow, green, cyan, blue, purple, magenta, pink, white, warm, off.
python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py pulse blue --bpm 30 --seconds 5
python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py strobe red --count 5 --interval 0.15
python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py rainbow --seconds 5
python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py fade warm --seconds 2
hue skill)python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py signal success
python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py signal thinking --seconds 5
| signal | color | effect | |---|---|---| | success/done | green | solid | | error | red | strobe | | warning | orange | pulse | | thinking | blue | pulse | | working | cyan | pulse | | idle | warm | solid | | attention | magenta | strobe | | focus | purple | solid |
python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py segment 0 255 0 0 # seg 0 red
python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py segment 1 0 255 0 # seg 1 green
python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py segment 2 0 0 255 # seg 2 blue
Use the same signal vocabulary as the hue skill. Example combined command:
python3 ~/.claude/skills/timebuzzer-led/scripts/buzzer_led.py signal success &
python3 ~/.claude/skills/hue/scripts/hue.py signal success --group 1
development
--- name: agency-docs-updater description: End-to-end pipeline for publishing Claude Code lab meetings. Accepts optional args: date (YYYYMMDD, "yesterday", "today") and lab number (e.g. "04"). Examples: "yesterday 04", "20260420 05", "04" (today, lab 04), "" (today, auto-detect lab). --- # Agency Docs Updater Execute ALL steps automatically in sequence. Only pause if a step fails and cannot be recovered. Read `references/learnings.md` before starting for known pitfalls. **Configuration**: pat
tools
This skill should be used when applying proper typography to prose text or files in Russian, English, German, or French — smart quotes per locale («ёлочки», “curly”, „Gänsefüßchen“, « guillemets »), correct dashes (тире, em/en dash, Gedankenstrich, tiret), non-breaking spaces, ranges, ellipsis, and French espaces insécables before ! ? ; :. Fully deterministic via a pinned typograf-based CLI; never apply these rules by hand. Triggers on "типографика", "typograf", "оттипографь", "smart quotes", "fix typography", "неразрывные пробелы".
development
This skill should be used when inspecting or applying advanced OpenType features of a font (woff2/otf/ttf) — ligatures, stylistic sets (ss01–ss20), character variants (cvXX), texture healing, slashed zero, tabular/oldstyle figures, fractions, small caps, case-sensitive forms — and generating the CSS to enable them. Interviews the user via cenno to pick features. Triggers on "OpenType features", "font features", "stylistic sets", "ligatures", "texture healing", "tabular figures", "what can this font do".
tools
--- name: pre-session-portrait description: Build a compressed, visualizable "portrait" of a consulting/coaching client before a session, so the paid hour is spent solving, not scoping. Runs a 7-lens JTBD-inspired interview (where / how / what / problem / ideal / tension / jobs-to-be-done) that takes rich open answers in and compresses them to an 11-field YAML portrait out. Delivers three ways: raw paste-into-a-clean-chat prompt, a secret GitHub gist link, or a Codex CLI one-liner. Use when prep