'session id' 검색 결과

At the end of a long working session, produce a counterfactual trace note — a backward walk through the session that identifies the small number of load-bearing moments (observations, failures, accidents, decisions) without which the final outcome would not exist. Use this whenever the user asks to "close the session", "run the butterfly", "trace back", "what actually mattered here", asks for a session retrospective, or asks how the session arrived at its result. Also use it when a session ends with a significant outcome (a fix, a design decision, a shipped artifact) and the user wants a note capturing why it happened, not just what happened. Do NOT use for simple summaries of short sessions — this skill is for causal tracing, and it only earns its cost when the session was long enough to contain real forks.

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AID Memory System for session feedback, learning cycles, and skill improvement. Manages state, feedback collection, and improvement analysis. Load for /aid-init, /aid-start, /aid-status, /aid-end, /aid-improve, /aid-memory, /aid-reset.

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Guides a user from "I want to watch recordings but don't know which ones" to a short, high-signal list of sessions worth watching. Use when the user asks which sessions or replays to watch, wants help finding interesting / useful recordings, says they don't know where to start in session replay, or wants to watch sessions about a goal (signup, pricing, onboarding, checkout, a feature, rageclicks, errors, mobile, a specific person) without naming exact filters. Turns a vague intent into a focused RecordingsQuery via `query-session-recordings-list`, then deep-links the best few and hands off to `investigating-replay`. Do NOT use when the user already has a recording/session ID (use investigating-replay) or wants the replay for a known error issue (use finding-replay-for-issue).

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Save an agent session’s state, settings, memory, and task progress, then restore it in another conversation. List saved sessions, inspect their details, and remove old ones when managing checkpoints for ongoing work.

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• Pause work and resume it in a later conversation
• Save progress checkpoints during long tasks
• Inspect saved sessions and their details

Recover context from local coding-agent transcripts and produce a checkpoint covering the objective, completed work, blockers, and next step. Explicit import requests support read-only recovery, with continuation governed by the current workspace rules and the user's request.

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• Recover context using a session ID
• Summarize unfinished work from local logs
• Review JSONL exports or Markdown handoffs

Resume unfinished Codex work in Muse Code by reading a local session log selected by the user. Recover the latest request, decisions, and pending changes, then check current files and continue the task.

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• Continue unfinished Codex work in Muse Code
• Resume work from a session ID or log path
• Recover prior decisions before continuing a task

Diagnose problems in Muse Code itself using the installed executable, settings, crash reports, and session evidence. The skill narrows down the likely failing component, summarizes evidence with sensitive information removed, and recommends a safe next action.

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• Investigate Muse Code startup or authentication failures
• Diagnose a session that cannot be resumed
• Review earlier activity in a selected Muse Code session

Review Google Health Connect records synced from an Android device, including steps, heart rate, sleep, and workouts. Examine daily trends or individual measurements, check synchronization gaps, and delete stored records when requested.

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• Reviewing daily steps and heart rate trends
• Checking sleep stages and awakenings
• Reviewing workout duration and distance

Analyze Antigravity coding session artifacts to explain scope changes, repeated rework, and underlying causes. Produce an evidence-based report with confidence levels, prompt assessments, recurring problem areas, and prioritized recommendations for improving future development sessions.

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• Reviewing sessions with repeated rework
• Separating scope changes from agent and codebase problems
• Finding files and subsystems associated with recurring friction

Create a disposable Herdr session to reproduce terminal, process, API, or agent issues separately from the main session. Drive tests through the CLI or API, collect evidence of state changes, and clean up the temporary session afterward.

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• Reproducing pane, terminal, or process issues in Herdr
• Checking agent detection and permission-related state changes
• Collecting commands, logs, and state for a reproducible bug report

Build a new course using the visual design of an existing slide deck. Copy suitable layouts, replace their text and other content, check for leftover material and overflow, and generate narration while preserving the deck's colors, typography, and composition.

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• Creating a course in an existing deck's visual style
• Reusing slide layouts for a different teaching topic
• Replacing content while preserving colors and typography

Turn work history into clear accomplishment statements for performance reviews, promotion cases, and weekly updates. Use Copilot CLI sessions, git commits, and GitHub pull requests to connect each action with its result and supporting evidence.

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• Recovering work accomplishments missing from a personal log
• Preparing evidence for a performance review
• Organizing achievements for a promotion case

Use Curviate CLI to retrieve LinkedIn profiles and company information, update your own profile, inspect company inboxes, and convert search terms into filter IDs. It also covers account connections and choosing stored or live profile data.

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• Researching LinkedIn profiles and companies
• Updating your own headline and bio
• Finding IDs for location and industry filters

Delete stored context-mode data for one session or an entire project after confirming the scope. Remove an unwanted session while preserving others, or clear project knowledge, session records, and statistics for a fresh start.

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• Remove data from one unwanted session
• Clear a project database containing outdated information
• Reset all stored project data for a fresh start

Add Codex as the agent that plans tasks and coordinates tools in NanoClaw. Choose it for individual groups alongside Claude, with conversation history and session resume using a ChatGPT subscription or OpenAI API key.

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• Adding Codex as a NanoClaw agent provider
• Choosing Claude or Codex for each group
• Setting up ChatGPT or API key authentication

Find and delete selected memories stored in agentmemory after showing the matches and receiving explicit confirmation. It checks deletion results and distinguishes stored memories from lessons, observations, and complete session records.

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• Removing outdated stored memories
• Deleting selected memories containing private information
• Reviewing matching memories before deletion

Review agent work histories to identify recurring failures, repeated discoveries, and stalled tasks. Improve the prompts, specialist agents, skills, tools, and memory that guide future work, then submit those changes separately for review.

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• Addressing recurring command or tool failures
• Recording findings that agents repeatedly rediscover
• Turning repeated procedures into skills or tools

Review past local Cursor sessions, identify recurring tasks, and propose changes to a project skill. Changes are tested on separate validation tasks and staged for review before adoption, with backups of existing files.

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• Turn recurring Cursor tasks into a reusable skill
• Review proposed edits and validation scores before adoption
• Try the workflow without provider calls using mock

Explore research directions through ten structured thinking frameworks, then rank ideas by their importance, clarity, and feasibility. Turn a vague interest into a focused proposal with a short explanation, candidate experiments, and an initial feasibility study.

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• Exploring a new research direction
• Finding fresh angles on a stalled project
• Assessing an early research idea

Implement application security controls, including login, access permissions, password hashing, and input validation. The skill provides code, configuration requirements, and testing guidance for checking protections against unauthorized access, malicious input, and sensitive data exposure.

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• Implementing login with password hashing and rate limits
• Adding JWT validation and session protection
• Preventing SQL injection and malicious script execution

Guide changes to gh-aw internals, including workflow validation, session scoring, and GitHub output handling. Find implementation locations and design rules for configuration checks, YAML compatibility, and limits on log responses returned to agents.

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• Choose where to add workflow validation
• Review changes to session scoring
• Investigate YAML parsing differences

Build and troubleshoot canvas extensions displayed in the GitHub Copilot app's side panel. Follow guidance for scaffolding, implementing actions and inputs, preserving state, matching app themes, and checking behavior through canvas tools and extension logs.

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• Create a canvas extension for the side panel
• Check actions and input validation
• Investigate extension loading failures

Compare login approaches and authentication providers, then use implementation examples and security checklists to plan or review an app’s login flow. Covers sessions, tokens, external login providers, passkeys, and common implementation mistakes.

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• Choose a login approach for a new app
• Compare NextAuth / Auth.js, Clerk, and Supabase Auth
• Review token storage and refresh behavior

Drive Codeman, the session manager this agent is running inside, over its HTTP API, from any agent CLI (Claude Code, Codex, Gemini CLI, OpenCode, Antigravity, Grok Build, DeepSeek Harness, OMP): list sessions, start worker sessions in any installed CLI, send them prompts, block until they finish (wait / wait-output / send-and-wait), read their output, and clean up; where available, message claude workers directly (Claude Code cross-session messaging). Use when asked to orchestrate or parallelize work across Codeman sessions, get a second opinion from another CLI or model, watch another session, or start and manage workers. Only usable inside a Codeman-managed session (CODEMAN_MUX=1); refuse to act otherwise.

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