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Agentheim
Agentheim에는 heimeshoff에서 수집한 skills 11개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Use whenever the user wants work executed on the todo backlog — running tasks, building features, implementing what has already been modeled. Triggers on phrases like "start working", "execute the todo", "work on it", "build it", "implement the backlog", "let's go", "run the workers", "pick up where you left off", "ship what's ready". Spawns parallel worker sub-agents that resolve task dependencies and claim ready tasks from `contexts/*/todo/`. Workers follow TDD per `skills/test-driven-development/SKILL.md`. Every worker SUCCESS goes through a `verifier` agent (see `skills/verification-before-completion/SKILL.md`) before commit — failed verification re-dispatches the worker up to twice, then escalates to the user. New tasks promoted to todo during the run are picked up automatically as they become ready. Does not do modeling — only executes already-refined tasks.
Use whenever the user wants to dump an idea, bug, or feature into the backlog FAST — no conversation, no questions, no refinement. This is the quick-jot entry point: the user is offloading a thought and wants to keep moving, not think it through. Triggers on phrases like "capture this", "jot this down", "quick capture", "note for later", "dump this in the backlog", "just file it", "add this without discussing", "brain-dump", "stick this in <bc>", "log this idea", "don't ask, just record it", and on rapid-fire multi-idea lists ("three things: A, B, C"). Routes each idea to the best-fit bounded context, writes one backlog task per idea, and reports where each landed in a single line — then gets out of the way. If the user instead wants to think an idea through, refine it, or talk it over, that's `modeling`, not this. Quick-capture never asks clarifying questions and never writes to todo — captured tasks are deliberately raw and always need a later refinement pass.
Use whenever the user wants to start a new project, create a vision, do a Socratic modeling or discovery session, explore a problem space from scratch, or set up an initial context map and bounded contexts. Triggers on phrases like "let's brainstorm", "start a new project", "create a vision", "I want to build X", "model this out from scratch", "help me think through", "what should the shape of this be". Produces .agentheim/vision.md (and context-map.md if the domain is complex enough to warrant bounded contexts), and closes with an architecture foundation pass that unconditionally creates an `infrastructure/` BC (the standing home for globally-true tech concerns), emits decision tasks (globally-true → infrastructure BC, BC-local → originating BC), a walking-skeleton spike, and (when the vision implies frontend) a styleguide task. Deliberately produces no code — every output is markdown the user can review before `work` runs. Supports six switchable conversational modes (Interrogator [default], Suggestor, Chal
Use whenever the user wants to capture an idea, bug, feature request, refinement, or change to an existing bounded context — anything from "the button should be green" to "we need a whole new subscription subsystem". Also use when the user wants to refine existing backlog items or promote refined items to ready-to-work. Triggers on phrases like "I have an idea", "let's model this", "let's do some modeling", "capture this", "add this to the backlog", "refine the auth backlog", "promote X to todo", "we should also", "what if we added", "there's a bug", "change the color of", "the domain needs to handle". Creates task markdown files in the appropriate bounded context with the right status, and can spawn deeper modeling sessions via the orchestrator. Supports six switchable conversational modes (Interrogator [default], Suggestor, Challenger, Storyteller, Facilitator, Synthesizer) during CAPTURE and REFINE — see references/modes.md.
Use whenever the user or another skill needs external information gathered from the web — state of the art on a topic, comparison of approaches, documentation for a library, domain knowledge from outside the codebase. Triggers on phrases like "research X", "find out about", "what's the state of the art for", "look up how others do", "compare options for", "gather info on", and also triggers internally when brainstorm or model hits an "I don't know enough" wall. Produces a research report in .agentheim/knowledge/research/ that can be referenced from tasks, ADRs, and modeling sessions. Every report passes through a fresh-context `research-reviewer` agent (see `skills/research-review/SKILL.md`) that re-verifies its checkable claims against primary sources before the report is citable.
Use whenever the user wants to know what to do next on an Agentheim project — they've just finished a batch of work, they're staring at an empty board, or they're simply not sure where to put their attention. Triggers on phrases like "what's next", "what should I do now", "what now", "where do I pick up", "I'm done — now what", "what's the next sensible step", "give me a recommendation", "is there anything to work on", "what should I build next", and on the dashboard topbar "What's next" launch. Reads the vision, the per-BC task boards (backlog / todo / doing / done), the recent protocol, and the open questions, then answers in plain prose: the single next sensible step and why — or two options when the project genuinely forks. Read-only: it recommends, it never moves tasks, commits, or edits anything.
Use whenever the `work` skill is about to commit a worker's `RESULT: SUCCESS` — between the worker's return and `git add/commit`. Triggers internally from `work`'s post-success gate. Spawns the `verifier` agent with fresh context (no exposure to the worker's reasoning) to inspect the diff against the task's acceptance criteria and either PASS, FAIL with re-dispatch, or SKIP. Doctrine document; the operational steps live in `work`'s flow.
Use whenever the `research` skill is about to ship a researcher's report — between the researcher's return and the report being treated as citable knowledge. Triggers internally from `research`'s post-write gate. Spawns the `research-reviewer` agent with fresh context (no exposure to the researcher's reasoning) to re-verify the report's decision-critical checkable claims against primary sources and either PASS, FAIL with re-dispatch, or label the survivors unverified. Doctrine document; the operational steps live in `research`'s flow.
Use whenever the user wants to dump an idea, bug, or feature into the backlog FAST — no conversation, no questions, no refinement. This is the quick-jot entry point: the user is offloading a thought and wants to keep moving, not think it through. Triggers on phrases like "capture this", "jot this down", "quick capture", "note for later", "dump this in the backlog", "just file it", "add this without discussing", "brain-dump", "stick this in <bc>", "log this idea", "don't ask, just record it", and on rapid-fire multi-idea lists ("three things: A, B, C"). Routes each idea to the best-fit bounded context, writes one backlog task per idea, and reports where each landed in a single line — then gets out of the way. If the user instead wants to think an idea through, refine it, or talk it over, that's `modeling`, not this. Capture never asks clarifying questions and never writes to todo — captured tasks are deliberately raw and always need a later refinement pass.
Answer a question about the codebase of an Agentheim-managed project — how a feature works, where something lives, what was decided and why, or whether something is built yet — by reading the project's own structure (the index, the bounded-context READMEs, the ADRs, the task boards) and verifying against the actual source. Read-only. Invoke it directly when you want a thorough, code-grounded answer that separates what's decided from what's actually implemented.
Use whenever a worker is about to implement a task with observable behavior — features, bug fixes, refactors that should preserve behavior, any change with acceptance criteria you could turn into an assertion. Triggers internally from the `worker` agent at the start of its third action ("do the work"), and externally when the user invokes it explicitly ("do this TDD-style", "red-green-refactor this task"). Doctrine document; readable by humans and consumed by the worker as its execution discipline.