跳到正文
cccskills
免费在 GitHub 公开

session-flow

Summarizes the current Claude Code conversation into an evidence-backed map of goals, changes in direction, completed outcomes, current work, and open decisions. Use it to regain context after interruptions, session switching, or conversation compaction.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Reorient in the current Claude Code session with an evidence-backed map of its goal, pivots, outcomes, current step, and open decisions.

查看安装方法

适用场景

  • Regaining context after switching sessions
  • Reviewing progress after conversation compaction
  • Identifying decisions that still need user input
  • Checking only the goal and current stage

包含的文件(1)

  • SKILL.md4.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Session Flow

Build a compact, evidence-backed map of how this conversation actually unfolded so the user can reorient after switching sessions or compacting. This is an advisory summary, not a planner, executor, or replacement for the user's task list.

Modes

  • No argument: render the full map and reconcile its session-flow Tasks when native Task tools are available.
  • short: return only the goal, current stage, and what (if anything) needs the user. Read-only; do not change Tasks.
  • reset: discover and delete only Tasks owned by this skill, then confirm what was removed. Do not render a new map.

Workflow

  1. Reconstruct the flow from this conversation's user messages and tool results. Do not treat repository state alone as evidence that a stage happened. Separate the original goal from explicit goal changes, pivots, completed outcomes, dropped paths, and decisions still waiting on the user.
  2. Make 4–8 meaningful stages when the history supports them; use fewer rather than padding sparse histories or inventing work. Use one outcome per stage:
    • ✅ completed with an outcome supported by the conversation
    • ▶ the current unfinished stage
    • ○ an explicitly planned but unstarted stage
    • ✂ dropped, with the stated reason
    • ↪ a pivot, with the old direction and the evidenced new direction
  3. Give every stage one compact evidence pointer. Use a real URL or artifact path when one appears in the conversation; otherwise cite a distinctive short user quote or tool result. Never invent a link or state an inference as fact. Mark uncertain or pre-compaction reconstruction as inferred.
  4. Keep the full map to at most 15 lines: one line per stage, plus concise goal, Needs you, and Next lines. Include open decisions in Needs you; say none when there are none. Next must be a concrete next action only when the conversation supports one.
  5. In the default and reset modes, call TaskList and inspect every [S<number>] candidate with TaskGet before mutating it. A Task belongs to this skill only when its subject starts with [S<number>] and its description contains the exact marker line session-flow: managed stage. Never edit, complete, delete, or reuse an unmarked Task.
  6. In the default mode, update owned Tasks that still represent a stage, create missing stages with TaskCreate, a subject beginning [S<number>], and a description whose first line is the ownership marker followed by stage evidence. Match statuses to the map: completed (including dropped or pivoted) is completed, current is in_progress, and planned is pending. Delete owned Tasks for stages no longer in the reconstructed map with TaskUpdate status deleted; keep surviving stage numbers stable and avoid collisions with unowned Tasks.
  7. The OMC continuation hook excludes Tasks with both the [S<number>] subject prefix and the exact ownership marker, so these descriptive records are not treated as unfinished work. Preserve both markers on every create or update. short must not call mutating Task tools.
  8. For reset, discover owned Tasks with TaskList and TaskGet, then use TaskUpdate status deleted only on confirmed owned Tasks.
  9. If the native Task tools are unavailable, render the map without claiming it was persisted. For reset, report that owned Tasks could not be inspected or removed; do not guess which Tasks belong to the skill.

Output

Use a stable, concise shape:

🎯 Goal: <goal and any evidenced change>
✅ S1 <stage> → <outcome> — evidence: <source pointer>
↪ S2 <old direction> → <new direction> — evidence: <source pointer>
▶ S3 <current stage> — evidence: <source pointer>
✂ S4 <dropped path> — <reason> — evidence: <source pointer>
⏸ Needs you: <decision or none>
➡ Next: <supported next action or none>

Omit example rows that do not apply. Keep the stage order stable across calls unless the conversation provides evidence to correct it; update the owned Tasks to match any correction.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Write or revise instructions, specifications, tickets, and skill files so an agent can act without prior chat history. Make rules checkable, explain their reasons, define completion criteria, and keep authoritative information in one place.

中文简介正在准备中。当前显示英语简介。

  • Clarifying instructions in CLAUDE.md
  • Making specifications and tickets actionable
  • Adding completion criteria to skill procedures
Yeachan-Heo/oh-my-claudecode4万2026年10月20日 更新

Simplify bloated AI-generated code by removing dead code, duplicated logic, and unnecessary layers while checking that existing behavior stays intact. Use a limited cleanup scope, verify changes with relevant checks, or request a review without edits.

中文简介正在准备中。当前显示英语简介。

  • Removing duplicate logic and unused code
  • Simplifying unnecessary wrappers without changing behavior
  • Cleaning up only a specified set of changed files
Yeachan-Heo/oh-my-claudecode4万2026年10月20日 更新

Review module relationships and change history to identify structural improvements in a codebase. Receive ranked candidates with file references, suggested changes, and risks, plus a recommendation for where to start, without modifying code.

中文简介正在准备中。当前显示英语简介。

  • Reviewing architecture after a batch of changes
  • Investigating changes that touch too many files
  • Prioritizing structural improvements
Yeachan-Heo/oh-my-claudecode4万2026年10月20日 更新

ask

免费

Send questions, review requests, or implementation tasks to a supported local AI command-line tool through one shared command. The wrapper handles provider-specific options and saves the result as a Markdown file for later reference.

中文简介正在准备中。当前显示英语简介。

  • Requesting a security review of a patch
  • Seeking UX suggestions for a user flow
  • Drafting an implementation plan for an issue
Yeachan-Heo/oh-my-claudecode4万2026年10月20日 更新

Turn an unclear idea into linked decision tickets on a repository’s issue tracker. Work through one decision per session, record outcomes and dependencies, and prepare a brief defining the objective, scope, and exclusions for delivery.

中文简介正在准备中。当前显示英语简介。

  • Clarifying the destination of an early idea
  • Mapping decisions and their dependencies
  • Resuming unresolved decisions across sessions
Yeachan-Heo/oh-my-claudecode4万2026年10月20日 更新

autopilot

免费

Turn a short product idea into working code through requirements analysis, technical planning, implementation, testing, and review. It coordinates agents across these stages, fixes detected problems, and reports assumptions that still need a human decision.

中文简介正在准备中。当前显示英语简介。

  • Building a product from a short idea
  • Creating a bookstore inventory API
  • Developing a habit-tracking command-line tool
Yeachan-Heo/oh-my-claudecode4万2026年10月20日 更新

查看 Yeachan-Heo 的全部技能

报告此技能的问题