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Repo-local gstack workflow surface layered on top of the llm-wiki-memory packet.
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
Pointer skill for pk-speak / pi-pk-speak. Use when the user wants spoken replies, wake-word listening, session-manager control, deterministic short voice routes like `PK one` / `PK1` vs `PK two` / `PK2`, Telegram control, QR-based Android setup via `/pk-remote`, or the browser remote. Start from the bridge doc and then jump to README and source as needed.
How agents execute work for Kade. Use when starting substantive or multi-step work, discovering workspace and repository instructions, selecting skills or tools, assembling minimal context, delegating or handing off work, verifying results, or synchronizing state. Do not use for simple direct answers, Kade's profile or governance (use kade-hq), or repository-specific implementation truth (use repo-local instructions).
Canonical human-context and governance skill for working with Kade (pk). Selects relevant communication, attention, autonomy, session-state, decision, commitment, and memory rules without forcing planning behavior onto ordinary execution.
Survey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for OTHER models/agents to execute. Strictly read-only on source code — never implements, fixes, or refactors anything itself. Use when asked to audit a codebase, find improvement opportunities (bugs, security, performance, test coverage, tech debt, migrations, DX), suggest features or where to take the project next (roadmap, product direction), or generate handoff plans for another agent to implement.
Use when a CLI agent should speak naturally with pk-speak, wrap a command with spoken lifecycle notices, start the phone gateway/tray, print Android setup QR codes, or explain the current realtime voice options. Keep normal replies concise and speak only useful status, questions, approvals, and completion summaries.
Use the multimodalart/higgs-audio-v3-tts Gradio Space via API. Provides Python, JavaScript, and cURL usage examples.
| name | gstack |
| description | Repo-local gstack workflow surface layered on top of the llm-wiki-memory packet. |
This is the repo-local gstack surface for the packet-backed workspace rooted at C:\dev\Desktop-Projects\pi-speak-extension.
repo-owned dependency/submodule/vendor pathdeps/pk-skills1/gstackmissingpacket wrapper installed; richer repo-owned runtime still needs to be vendored or added as a submodule/dependencyDo not treat global skill installs as sufficient for this repo. Use the packet root files, .llm-wiki/config.json, the repo-owned dependency paths, and the repo-local kade/ overlay as the first-class workspace contract.