Game systems architect for technical architecture, engine design, and infrastructure. Use when the user asks to talk to Cloud Dragonborn or requests the Game Architect.
日本語の概要は準備中です。原文の説明を表示しています。
Forensic case investigation with evidence-graded findings, calibrated to the input. Use when the user asks to investigate a bug, trace what caused an incident, walk through unfamiliar code, or build a mental model of a code area before working on it.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Reconstruct what's happening, or what an unfamiliar area does, from the available evidence. Produce a structured case file another engineer can pick up cold. Calibrate continuously between defect-chasing (symptom-driven) and area-exploration (no symptom); the same discipline applies on both ends.
Args: A ticket ID, log file path, diagnostic archive, error message, code area name, problem description, or a path to an existing case file. The last form resumes a prior investigation; everything else opens a new case.
Output: {implementation_artifacts}/{workflow.case_file_subdir}/{workflow.case_file_filename}. Reference inputs
are recorded; raw content is not read into the parent context until an outcome calls for it.
{slug} is the ticket ID when one is provided, otherwise a short descriptive name agreed with the user, sanitized to
lowercase alphanumeric with hyphens. On collision with an existing case file at the resolved path, ask whether to
rename to slug-YYYY-MM-DD.md or resume the existing file (resuming routes to Outcome 0).
After every outcome, present what was learned and pause for the user before continuing.
path:line, log timestamp, or commit hash./, so they're clickable in IDE-embedded terminals.path:line from the result; don't re-read in the parent.Run: uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --project-root {project-root} --key workflow
If the script fails, stop and surface the error.
Run each entry in {workflow.activation_steps_prepend} in order.
Treat each entry in {workflow.persistent_facts} as foundational context. file: prefixes are paths or globs under
{project-root} (load contents); other entries are facts verbatim.
Load {project-root}/_bmad/gds/config.yaml and resolve {user_name}, {communication_language},
{document_output_language}, {implementation_artifacts}, {project_knowledge}. If {implementation_artifacts} is
unresolved, fall back to ./investigations/ and surface the fallback before initializing.
Greet {user_name} in {communication_language}.
Run each entry in {workflow.activation_steps_append} in order.
Activation is complete. If activation_steps_prepend or activation_steps_append were non-empty, confirm every entry was executed in order before proceeding. Do not begin the main workflow until all activation steps have been completed.
Acknowledge the input as a reference (record paths and IDs; don't read raw content). Path to an existing case file → Outcome 0. Otherwise → Outcome 1.
Read the case file. Surface, in order: open hypotheses (Status = Open) with their confirm/refute criteria; open
backlog (Status ≠ Done); missing-evidence rows; last Conclusion with confidence. Ask which thread to pull. New
evidence opens a new ## Follow-up: {YYYY-MM-DD} block (append #2, #3 on same-day reentry). Pause for user with the recap above; wait for direction.
Acknowledge each input shape — record location, scope, time window only; bulk reads happen in Outcome 2.
If the user arrived with a hypothesis, register it as Hypothesis #1. Find the stronghold independently; the user's hypothesis is one of the things the stronghold validates or refutes.
Find a stronghold: a Confirmed piece of evidence (error message, function name, HTTP route, config parameter, test case). Anchor here.
Initialize {case_file} before branching. The path is
{implementation_artifacts}/{workflow.case_file_subdir}/{workflow.case_file_filename} with {slug} substituted (slug
and collision rules in Overview). Create the file from {workflow.case_file_template} and fill Hand-off Brief
(rough), Case Info, Problem Statement, initial Evidence Inventory.
Evidence-light branch. When no Confirmed evidence is reachable: mark the case evidence-light in the Hand-off Brief; populate the Investigation Backlog with prioritized data-collection items; record "to make progress, I need one of: …"; pause for the user to provide evidence or authorize Outcome 2 to scan more broadly.
Otherwise present scope, stronghold, file path, proposed approach. Pause for user with the recap above; wait for direction.
Survey the scene: inventory available evidence in parallel across these independent categories: diagnostic archives;
issue tracker; version control; test results; static analysis; source code. For any category exceeding ~10K tokens,
delegate to a subagent that returns a JSON manifest (paths, sizes, time windows, key fragments cited as path:line).
Classify each Available, Partial, or Missing — Missing is itself a finding. Update Evidence Inventory and Investigation Backlog. Pause for user with the recap above; wait for direction.
Update Confirmed Findings, Deduced Conclusions, Hypothesized Paths, Backlog, Timeline. Highlight contradictions to the original premise. Pause for user with the recap above; wait for direction.
Issue these first-pass scans as parallel tool calls in one message: grep for exact error strings; glob the affected
directory for parallel implementations; git log for recent changes.
Then sequentially: read the surrounding code; follow the caller chain; watch for language and process boundary crossings (compiled→scripts, IPC, host→device, configuration flow).
Lean by case type:
Investigation stops at the diagnosis; implementation is out of scope. Update Source Code Trace (Error origin, Trigger, Condition, Related files; area model when broader). Pause for user with the recap above; wait for direction.
Update {case_file}:
Present the conclusion, then a concrete next-steps menu: trivial fix → gds-quick-dev; scope/plan adjustment →
gds-correct-course; tracked story → gds-create-story; fresh review → gds-code-review. Recommend the
highest-value action. Mitigations and workarounds are generated only on explicit request — investigation stops at the
diagnosis. Execute {workflow.on_complete} if non-empty. Pause for user with the recap above; wait for direction.
Continue work by appending to {case_file} under a new ## Follow-up: {YYYY-MM-DD} block (#2, #3 on same-day
reentry). The investigation is complete when:
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Game systems architect for technical architecture, engine design, and infrastructure. Use when the user asks to talk to Cloud Dragonborn or requests the Game Architect.
日本語の概要は準備中です。原文の説明を表示しています。
Game designer for creative vision, GDD creation, and narrative design. Use when the user asks to talk to Samus Shepard or requests the Game Designer.
日本語の概要は準備中です。原文の説明を表示しています。
Consolidated game developer for story execution, code implementation, code review, QA/test authorship, and sprint orchestration. Use when the user asks to talk to Link Freeman, the Game Developer, the Game QA, or the Game Scrum Master.
日本語の概要は準備中です。原文の説明を表示しています。
Elite indie game developer for rapid prototyping and solo quick-flow development. Use when the user asks to talk to Indie or requests the Game Solo Dev.
日本語の概要は準備中です。原文の説明を表示しています。
Technical documentation specialist and knowledge curator for game projects. Use when the user asks to talk to Paige or requests the Technical Writer.
日本語の概要は準備中です。原文の説明を表示しています。
Facilitate game brainstorming sessions with game-specific techniques. Use when the user says "brainstorm game" or "game ideas"
日本語の概要は準備中です。原文の説明を表示しています。