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add-pipeline-stage
Step-by-step workflow for integrating a new stage into the ORBIS audio/processing pipeline
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Step-by-step workflow for integrating a new stage into the ORBIS audio/processing pipeline
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Full clean rebuild of ORBIS — wipes web/dist, dist-sdist, src-tauri bundle, staged sidecar binary, pyapp env cache, WKWebView state, sidecar.log, and stale unix sockets, then rebuilds frontend → sdist → pyapp sidecar → tauri bundle in the correct order, and launches with stderr captured. Use when voice doesn't work, the orb shows weird state, "Load failed" appears anywhere in the UI, or anything feels off after a code change.
Step-by-step workflow for adding a new processing component to the ORBIS agent pipeline
Integrate a new ML component (classifier, reranker, etc.) into an existing agent pipeline by reading the codebase, identifying hook points, implementing the module, and wiring it in.
Commit pending changes, bump the patch version tag, and publish a beta release
Scaffold and plan a new marketing site — branding audit, stack selection, hero design, and deployment config
Integrate a new ML component (classifier, reranker, embedder, etc.) into an existing pipeline by locating insertion points, implementing the module, and wiring it in.
| name | add-pipeline-stage |
| description | Step-by-step workflow for integrating a new stage into the ORBIS audio/processing pipeline |
Use this when adding a new processing stage (e.g. a detector, filter, or transformer) to the ORBIS pipeline. Covers wiring the stage in, exposing its dependencies, and validating it with tests.
pyproject.toml — create or update the relevant [project.optional-dependencies] extra so the stage's deps are opt-in installable..env.example and orbis.example.yaml — document any new environment variables or config keys the stage requires.wake_word detector: inserted first in pipeline, added [wake-word] extra, documented env vars WAKE_WORD_MODEL and WAKE_WORD_THRESHOLD, wrote docs/wake_word.md, wrote tests/test_wake_word.py, then corrected the overflow-window assertion after reviewing early-exit logic.noise_gate stage: insert after wake_word, add [noise-gate] extra, expose NOISE_GATE_DB in .env.example, document hysteresis behaviour, write tests for open/closed/transition states.