跳到正文
cccskills
免费在 GitHub 公开

hindsight-recall

Find context from past coding sessions in Hindsight long-term memory. Reuse memories already loaded for the session, search for missing details, and reason over accumulated records when answering questions about decisions, project context, or preferences.

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

Search long-term memory for relevant context from past coding sessions using Hindsight MCP tools

查看安装方法

适用场景

  • Revisit the reasons behind past implementation decisions
  • Recover project context discussed in earlier sessions
  • Check previously discussed preferences
  • Review accumulated memories for architectural decisions

包含的文件(1)

  • SKILL.md1.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Hindsight Recall

Trigger

Use when the user explicitly asks about past decisions, project context, preferences, or anything that may have been discussed in prior sessions.

Workflow

  1. Identify the key topic or question from the user's request.
  2. Check if <hindsight_memories> in the current context already contains relevant results from the automatic session-start recall.
  3. If session memory already covered it, use those memories directly.
  4. If the user needs more specific or deeper recall, use the Hindsight MCP recall tool to search for additional memories.
  5. If you want to reason over accumulated memories for architectural decisions, use the reflect tool.

Guardrails

  • Only use MCP tools for deeper recall when the session-start memory was insufficient.
  • When memories conflict with current context, prefer current context and note the discrepancy.
  • Do not expose raw memory metadata to the user unless asked.

Output

  • Relevant memories integrated into the response
  • If MCP tools are not available, advise the user to check their .cursor/mcp.json configuration

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

Record task handoffs between Bots in shared Hindsight memory, including progress, remaining work, sources, and caveats. Other Bots can retrieve the record later, continue unfinished work, and report the outcome back through shared memory.

中文简介正在准备中。当前显示英语简介。

  • Handing unfinished work to another Bot
  • Resuming a task started by another Bot
  • Sharing findings with Bots outside the current conversation
vectorize-io/hindsight5.2万2026年10月19日 更新

Review changed code against project rules and report missing tests, unused code, typing problems, and style violations. It also checks API design and data isolation, helping developers identify issues after implementation.

中文简介正在准备中。当前显示英语简介。

  • Reviewing changes after implementation
  • Finding missing tests and unused code
  • Checking Python types and API design
vectorize-io/hindsight5.2万2026年10月19日 更新

Create a specialized Claude Code subagent with Hindsight long-term memory. Start with an empty agent or import prepared documents, then equip it with knowledge pages and memory search to reuse information across sessions.

中文简介正在准备中。当前显示英语简介。

  • Create a specialized agent that remembers across sessions
  • Build an agent from prepared reference documents
  • Start an empty agent and add knowledge over time
vectorize-io/hindsight5.2万2026年10月19日 更新

figure

免费

Create an animated diagram showing request flows, background jobs, or feature changes. The result is a single SVG image for README files, pull requests, issues, or blog posts, with support for light and dark themes.

中文简介正在准备中。当前显示英语简介。

  • Explaining request and data flows
  • Illustrating how a background job works
  • Showing feature changes in a pull request
vectorize-io/hindsight5.2万2026年10月19日 更新

Plan how an AI application should use Hindsight memory. Identify useful information to retain, define user-scoping tags and memory bank settings, and specify how retrieved facts and synthesized knowledge should reach the model.

中文简介正在准备中。当前显示英语简介。

  • Plan memory that carries conversation context across sessions
  • Design tags that separate each user's memories
  • Plan summaries of customer preferences and recurring issues
vectorize-io/hindsight5.2万2026年10月19日 更新

Store project conventions, task outcomes, and troubleshooting lessons in a shared Hindsight Cloud memory bank. Retrieve relevant context before new work, or synthesize past experience to guide decisions and help teammates reuse what has been learned.

中文简介正在准备中。当前显示英语简介。

  • Save project coding and testing conventions
  • Share failure causes, fixes, and workarounds
  • Retrieve related lessons before starting a task
vectorize-io/hindsight5.2万2026年10月19日 更新

查看 vectorize-io 的全部技能

报告此技能的问题