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Use Hindsight to recall past context, save reusable facts, and reason across accumulated memories. Supports continuity between conversations by preserving preferences, project decisions, and lessons learned, while helping explain the reasoning behind earlier choices.

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• Resuming earlier work with relevant context
• Saving lasting preferences and project decisions
• Reviewing the reasons behind past decisions

Prepare and publish a core Hindsight release, then open a pull request for its changelog and announcement blog post. Covers version updates, package publication checks, and synchronization of the accompanying documentation references.

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• Publishing a new core Hindsight version
• Preparing a release changelog and announcement
• Checking release tags and publication workflows

Store preferences, task lessons, and procedure outcomes in Hindsight, then retrieve relevant context before starting new work. It records detailed observations and can synthesize past experience into guidance for approaching the next task.

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• Remembering preferences and project conventions
• Recording bug fixes and workarounds
• Keeping successful and failed procedure outcomes

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.

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• Handing unfinished work to another Bot
• Resuming a task started by another Bot
• Sharing findings with Bots outside the current conversation

Carry context between scheduled or event-triggered routine runs using Hindsight memory. Add recall and recording steps to routine instructions so each run can use previous findings, resume unfinished work, compare changes, and leave guidance for the next run.

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• Add memory steps when creating or editing a routine
• Skip work already handled in a previous run
• Resume unfinished tasks and compare changes

Manage Hindsight memory for coding sessions: retrieve past decisions, store documents and initiative plans, correct outdated information, and configure memory by project. It also explains automatic conversation capture and helps investigate memory configuration problems.

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• Retrieving past project decisions and conventions
• Saving external notes and initiative plans
• Correcting outdated or inaccurate memory

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.

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• Revisit the reasons behind past implementation decisions
• Recover project context discussed in earlier sessions
• Check previously discussed preferences

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.

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• Explaining request and data flows
• Illustrating how a background job works
• Showing feature changes in a pull request

Consult bundled technical documentation to understand and integrate Hindsight, a memory system for AI agents. Find guidance on storing and retrieving memories, API calls, configuration, deployment, SDKs, troubleshooting, and performance.

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• Learning how memory storage and retrieval work
• Checking API endpoints and request parameters
• Planning server setup and SDK integration

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.

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• Save project coding and testing conventions
• Share failure causes, fixes, and workarounds
• Retrieve related lessons before starting a task

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.

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• Reviewing changes after implementation
• Finding missing tests and unused code
• Checking Python types and API design

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.

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• Create a specialized agent that remembers across sessions
• Build an agent from prepared reference documents
• Start an empty agent and add knowledge over time

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.

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• Plan memory that carries conversation context across sessions
• Design tags that separate each user's memories
• Plan summaries of customer preferences and recurring issues

Store team conventions, troubleshooting notes, and project knowledge on a self-hosted Hindsight server. Retrieve relevant context before new tasks and draw on recorded experiences, including successful procedures, failed attempts, and individual preferences attributed to specific people.

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• Share project conventions across the team
• Record fixes and troubleshooting procedures
• Recall past decisions before starting work

Answer questions about past decisions, usual practices, and changes over time by reasoning across Hindsight memories. When information spans multiple memory banks, combine the answers and identify their sources, while acknowledging gaps or contradictions.

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• Check what was decided in previous discussions
• Review how the team usually handles a task
• Trace how a practice changed over time

Check a Bot’s connection to Hindsight and set up dedicated and shared memory stores. The skill also creates a user knowledge summary when needed and reports which other memory stores are available to read.

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• Setting up Hindsight for a Bot’s first use
• Checking the connection after a memory tool fails
• Separating project memories from shared knowledge

Save facts, decisions, preferences, and task outcomes to Hindsight long-term memory. The skill turns what was learned into short notes with context and reasons, choosing either a Bot’s own memory store or a shared store.

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• Saving a completed task’s outcome and reasoning
• Remembering a user’s stated preferences
• Recording decisions for future work

Retrieve relevant Hindsight memories before planning or answering a request. Searches the agent’s own and shared memory stores, plus other relevant stores when needed, to bring past decisions, user preferences, and project context into the task.

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• Checking past decisions before planning work
• Answering with previously recorded user preferences
• Finding context saved by other Bots or AI tools

Take a pull request through repeated code review and fixes, verify that automated checks pass for the latest commit, and combine its changes into one commit when merging. Conflicts with the request’s goal require confirmation.

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• Reviewing, fixing, and merging a pull request
• Resolving every review finding, including minor issues
• Checking CI results for the commit being merged

Your long-term knowledge pages. Read them at session start. Create new pages when you learn something worth remembering across sessions. Pages auto-update from your conversations via Hindsight.

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Expert memory architect. Understands your application, identifies where memory adds value, and produces an implementation plan with bank config, tag schema, and code.

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Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.

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Check for and install hindsight-skills updates. Detects new versions, offers upgrade options, and shows what changed.

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Create a new Hindsight-powered subagent with long-term memory. Use when the user wants a specialized agent that learns and remembers across sessions.

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