using-termcanvas
Use when starting work in a TermCanvas-managed repo to route between direct work, Hydra, or a narrow TermCanvas skill.
DeepseekModel
官方收录技能
质量 优秀 · 78
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=blueberrycongee-termcanvas-skills-skills-using-termcanvas-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name using-termcanvas description Use when starting work in a TermCanvas-managed repo to route between direct work, Hydra, or a narrow TermCanvas skill. alwaysApply true Using TermCanvas Route first. Choose the lightest path that preserves correctness. Routing If the user wants to challenge, stress-test, or critically review an idea, argument, or proposal, use challenge . If the user asks to investigate a bug, debug, or diagnose an issue, use investigate . If the user asks for a security review or audit, use security-audit . If the user asks for a code review or diff review, use code-review . If the user asks to test a site, QA a page, or verify a deploy, use qa . If the task is simple, local, high-certainty, or faster in the current agent, do it directly. Do not invoke Hydra by default. If the task needs an isolated worktree, file evidence, retry/status control, or a staged workflow, use hydra . Before using Hydra in a repo, ensure the project has current Hydra instructions via hydra init-repo or the TermCanvas Hydra enable action. Hydra workflow patterns Lead-driven, decision-point oriented. The Lead reads the codebase, picks the strategy, and dispatches workers for the steps that need a fresh agent process. Roles available: lead (the decider — not itself dispatched), dev (writes code AND its tests), reviewer (independent cross-model check). No separate researcher — the Lead does its own research. No separate tester — dev owns its own test surface. hydra init --intent "..." --repo . then dispatch dev -> reviewer for ambiguous, risky, or PRD-driven work call hydra watch after each dispatch to wait for the decision point hydra spawn --task "..." --repo . for a single isolated worker use when the task split is already known and you do not need the full Lead-driven loop Hydra worker primitive hydra spawn --task "..." --repo . one direct isolated worker terminal use when the task split is already known and you do not need a full workflow Guardrails Do not describe Hydra workflows as automatic parallelism unless multiple spawned workers are actually involved. When launching Claude/Codex tasks via TermCanvas CLI, use termcanvas terminal create --prompt "..." rather than termcanvas terminal input . After hydra dispatch , immediately start hydra watch — do not ask whether to watch. Use hydra watch / hydra status / hydra ledger / hydra list --workflows for workflows created by hydra init . Use hydra list and hydra cleanup <agentId> for direct workers created by hydra spawn . Prefer structured Hydra state and files over terminal prose. Memory Graph When the session context contains a <memory-graph> block from TermCanvas: Check "References" before reading a memory file — referenced files are likely also relevant, follow the links If a memory is marked "Time-sensitive" with a date that has clearly passed, verify its content against current project state before acting on it Do not cite memory-graph metadata to the user — it's for your navigation, not for display
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下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |