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continue-claude-workcontinue Claude work 搜索

Agent Skill

continue-claude-work 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,166

周安装

136

GitHub Stars

956

下载量

1,110
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:continue-claude-work(continue Claude work 搜索)
来源仓库:https://github.com/daymade/claude-code-skills
仓库路径:skills/continue-claude-work
安装命令:
npx skills add https://github.com/daymade/claude-code-skills --skill continue-claude-work
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/daymade/claude-code-skills --skill continue-claude-work

简介

continue-claude-work 从本地会话文件重建 actionable 上下文以继续任务。

  • 区别于 --resume 的全量回放,本技能只提取最新摘要与待办事项。
  • 输出聚焦于错误记录、当前状态与下一步操作,减少 token 浪费。
  • 使用前请确保目标目录存在且具备读写权限,否则无法写入恢复信息。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Continue Claude Work

Overview

Recover actionable context from a prior Claude Code session and continue execution in the current conversation. Use local session files as the source of truth, then continue with concrete edits and checks — not just summarizing.

Why this exists instead of claude --resume: claude --resume replays the full session transcript into the context window. For long sessions this wastes tokens on resolved issues and stale state. This skill selectively reconstructs only actionable context — the latest compact summary, pending work, known errors, and current workspace state — giving a fresh start with prior knowledge.

File Structure Reference

For directory layout, JSONL schemas, and compaction block format, see references/file_structure.md.

Workflow

Step 1: Extract Context (single script call)

Run the bundled extraction script. It handles session discovery, compact-boundary parsing, noise filtering, and workspace state in one call:

# Latest session for current project
python3 scripts/extract_resume_context.py

# Specific session by ID
python3 scripts/extract_resume_context.py --session <SESSION_ID>

# Search by topic
python3 scripts/extract_resume_context.py --query "auth feature"

# List recent sessions
python3 scripts/extract_resume_context.py --list

The script outputs a structured Markdown briefing containing:

  • Session metadata from sessions-index.json
  • Compact summary — Claude's own distilled summary from the last compaction boundary (highest-signal context)
  • Last user requests — the most recent explicit asks
  • Last assistant responses — what was claimed done
  • Errors encountered — tool failures and error outputs
  • Unresolved tool calls — indicates interrupted session
  • Subagent workflow state — which subagents completed, which were interrupted, their last outputs
  • Session end reason — clean exit, interrupted (ctrl-c), error cascade, or abandoned
  • Files touched — files created/edited/read during the session
  • MEMORY.md — persistent cross-session notes
  • Git state — current status, branch, recent log

The script automatically skips the currently active session (modified < 60s ago) to avoid self-extraction.

Step 2: Branch by Session End Reason

The briefing includes a Session end reason. Use it to choose the right continuation strategy:

End ReasonStrategy
Clean exitSession completed normally. Read the last user request that was addressed. Continue from pending work if any.
InterruptedTool calls were dispatched but never got results (likely ctrl-c or timeout). Retry the interrupted tool calls or assess whether they are still needed.
Error cascadeMultiple API errors caused the session to fail. Do not retry blindly — diagnose the root cause first.
AbandonedUser sent a message but got no response. Treat the last user message as the current request.

If the briefing has a Subagent Workflow section with interrupted subagents, check what each was doing and whether to retry or skip.

Step 3: Reconcile and Continue

Before making changes:

  1. Confirm the current directory matches the session's project.
  2. If the git branch has changed from the session's branch, note this and decide whether to switch.
  3. Inspect files related to pending work — verify old claims still hold.
  4. Do not assume old claims are valid without checking.

Then:

  • Implement the next concrete step aligned with the latest user request.
  • Run deterministic verification (tests, type-checks, build).
  • If blocked, state the exact blocker and propose one next action.

Step 4: Report

Respond concisely:

  • Context recovered: which session, key findings from the briefing
  • Work executed: files changed, commands run, test results
  • Remaining: pending tasks, if any

How the Script Works

Compact-Boundary-Aware Extraction

The script finds the last compact boundary in the session JSONL and extracts its summary. This is the single highest-signal piece of context in any long session -- Claude's own distilled understanding of the entire conversation up to that point. For details on compaction format and JSONL schemas, see references/file_structure.md.

Size-Adaptive Strategy

Session sizeStrategy
Has compactionsRead last compact summary + all post-compact messages
< 500 KB, no compactionsRead last 60% of messages
500 KB - 5 MBRead last 30% of messages
> 5 MBRead last 15% of messages

Subagent Context Extraction

When a session has subagent directories (<session-id>/subagents/), the script parses each subagent's JSONL to extract agent type, completion status, and last text output. This enables recovery of multi-agent workflows -- e.g., if a 32-subagent evaluation pipeline was interrupted, the briefing shows which agents completed and which need retry.

Session End Reason Detection

The script classifies how the session ended:

  • completed -- assistant had the last word (clean exit)
  • interrupted -- unresolved tool calls (ctrl-c or timeout)
  • error_cascade -- 3+ API errors
  • abandoned -- user sent a message with no response

Noise Filtering

These message types are skipped (37-53% of lines in real sessions):

  • progress, queue-operation, file-history-snapshot -- operational noise
  • api_error, turn_duration, stop_hook_summary -- system subtypes
  • <task-notification>, <system-reminder> -- filtered from user text extraction

Guardrails

  • Do not run claude --resume or claude --continue — this skill provides context recovery within the current session.
  • Do not treat compact summaries as complete truth — they are lossy. Always verify claims against current workspace.
  • Do not overwrite unrelated working-tree changes.
  • Do not load the full session file into context — always use the script.

Limitations

  • Cannot recover sessions whose .jsonl files have been deleted from ~/.claude/projects/.
  • Cannot access sessions from other machines (files are local only).
  • Edit tool operations show deltas, not full file content — use claude-code-history-files-finder for full file recovery.
  • Compact summaries are lossy — early conversation details may be missing.
  • sessions-index.json can be stale (entries pointing to deleted files). The script falls back to filesystem-based discovery.

Example Trigger Phrases

  • "continue work from session abc123-..."
  • "don't resume, just read the.claude files and continue"
  • "check what I was working on in the last session and keep going"
  • "search my sessions for the PR review work"

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.1%
按下载量换算401

Claude

31.98%
按下载量换算355

Cursor

18.84%
按下载量换算209

Gemini CLI

10.6%
按下载量换算118

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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