一键导入
trajectory
Internal dynos-work skill. Sequence memory manager. Stores compact task traces and retrieves similar prior tasks to inform discovery and design review.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Internal dynos-work skill. Sequence memory manager. Stores compact task traces and retrieves similar prior tasks to inform discovery and design review.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Run checkpoint audit, repair any findings, then reach DONE — all in one shot. Use after /dynos-work:execute.
Execute the approved plan. Orchestrates execution graph segments through specialized executor agents, including dependency management and error recovery.
Internal: Data Executor. Implements ETL, analytics, backfills, data quality, reconciliation, and data pipeline changes. Write evidence on completion.
Internal: Infrastructure Executor. Implements deployment, CI/CD, container, IaC, and environment configuration changes. Write evidence on completion.
Internal: Observability Executor. Implements logs, metrics, traces, alerts, dashboards, and reliability instrumentation. Write evidence on completion.
Internal: Release Executor. Implements version/changelog updates, rollout flags, rollback plans, release notes, and migration sequencing. Write evidence on completion.
| name | trajectory |
| description | Internal dynos-work skill. Sequence memory manager. Stores compact task traces and retrieves similar prior tasks to inform discovery and design review. |
This is the memory layer for prior task traces. It is retrieval support, not an autonomous policy engine.
If available in this repo, the deterministic runtime for this skill is:
python3 hooks/trajectory.py rebuild --root .
python3 hooks/trajectory.py search query.json --root . --limit 3
Immediately after a successful task completion and /dynos-work:learn:
.dynos/trajectories.json.During the "Founder Phase" or "Planning Phase":
state-encoder to get the current module's state signature ($).hooks/trajectory.py to find the 3 most similar successful trajectories in trajectories.json.When a similar prior task is found: