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Auto Context

Automatically read relevant context before major actions. Loads TODO.md, roadmap.md, handoffs, task plans, and other project context files so the AI operates with full situational awareness. Use when starting a task, implementing a feature, refactoring, debugging, planning, or resuming a session.

skill openclawclawhub Free
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High Signal

Automatically read relevant context before major actions. Loads TODO.md, roadmap.md, handoffs, task plans, and other project context files so the AI operates with full situational awareness. Use when starting a task, implementing a feature, refactoring, debugging, planning, or resuming a session.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 15 sections Open source page

Auto-Context β€” Situational Awareness Protocol (Meta-Skill)

Before you act, understand where you are. This skill ensures the AI loads critical project context automatically before any major action, preventing wasted effort, duplicate work, and misaligned implementations.

OpenClaw / Moltbot / Clawbot

npx clawhub@latest install auto-context

When to Activate

This skill triggers automatically based on the current action. Do not wait for the user to ask β€” proactively load context when any of these conditions are met. TriggerWhyMinimum ContextStarting a new taskUnderstand priorities, avoid conflictsCritical + HighImplementing a featureKnow the plan, constraints, recent changesCritical + HighRefactoring codeUnderstand what changed recently, what's plannedCritical + High + MediumDebugging an issueCheck recent changes, known issues, discoveriesCritical + High + MediumPlanning or scoping workFull picture of roadmap, backlog, progressAll levelsSession start or resumeRebuild mental model from last session stateCritical + HighBefore a handoffEnsure nothing is missed in transitionAll levels

Context Files to Read

Read these files in priority order. Stop early if the task is narrow and lower-priority files are clearly irrelevant. PriorityFilePurposeRead WhenCriticalTODO.mdCurrent tasks, backlog, and prioritiesAlwaysCriticalroadmap.mdPhase status, milestones, project directionAlwaysHightask_plan.mdActive task breakdown and implementation planFile existsHigh.cursor/handoffs/*.mdRecent handoff notes (read last 3 by date)File existsMediumfindings.mdResearch results, discoveries, decisions madeRelevant to taskMediumCHANGELOG.mdRecent changes and their rationaleRelevant to taskLow.cursor/sessions/*.mdSession summaries (read last 2 by date)Planning or debugging

Alternate Locations

Some projects use different paths. Check these fallbacks if primary paths are empty: PrimaryFallbackTODO.mddocs/TODO.md, ai/TODO.mdroadmap.mddocs/roadmap.md, ROADMAP.mdtask_plan.mddocs/task_plan.md, .cursor/task_plan.mdfindings.mddocs/findings.md, .cursor/findings.md

Step 1: Load Critical Files (Always)

Read TODO.md β†’ Extract: current task, next priorities, blockers Read roadmap.md β†’ Extract: current phase, active milestone, upcoming deadlines If either critical file is missing, warn the user: "No TODO.md found. Consider creating one to track tasks."

Step 2: Load High-Priority Files (If They Exist)

Read task_plan.md β†’ Extract: implementation steps, acceptance criteria Glob .cursor/handoffs/*.md β†’ Read last 3 by modification date

Step 3: Load Medium/Low Files (If Relevant)

Only read these when the current task benefits from historical context: Debugging? β€” Read findings.md and CHANGELOG.md Planning? β€” Read everything including session files Quick fix? β€” Skip medium and low entirely

Step 4: Synthesize and Present

After loading, produce a context summary (see format below) before proceeding with the task.

Staleness Detection

Check modification dates on all loaded files. Flag files that may contain outdated information. AgeStatusAction< 24 hoursFreshUse as-is1-7 daysCurrentUse as-is, note the age7-30 daysStaleWarn: "{file} last updated {N} days ago β€” verify before relying on it"> 30 daysOutdatedWarn: "{file} is {N} days old and may no longer reflect project state" To check file ages on macOS: stat -f "%m %N" TODO.md roadmap.md task_plan.md findings.md CHANGELOG.md 2>/dev/null On Linux: stat -c "%Y %n" TODO.md roadmap.md task_plan.md findings.md CHANGELOG.md 2>/dev/null

Context Summary Format

  • After loading context, present a concise summary using this template. Keep it tight β€” the goal is awareness, not repetition.
  • ## Context Loaded
  • **Current Phase:** {phase from roadmap}
  • **Active Milestone:** {milestone and progress}
  • **Current Task:** {from TODO.md or task_plan.md}
  • Status: {in-progress / blocked / not started}
  • Blockers: {any blockers, or "none"}
  • **Recent Changes:**
  • {last 2-3 items from CHANGELOG or handoffs}
  • **Relevant Findings:**
  • {key discoveries that affect the current task, or "none"}
  • **Stale Warnings:**
  • {any staleness warnings, or "all context is fresh"}
  • If no context files exist at all, output:
  • ## Context Loaded
  • No project context files found. Operating without historical context.
  • Consider creating TODO.md and roadmap.md to enable context-aware assistance.

Integration Points

This skill connects to other workflow commands and should run as a precursor. CommandHow Auto-Context Integrates/start-taskLoads full context before beginning work; populates task plan/intentReads roadmap and TODO to validate intent against project direction/workflowProvides the "understand" phase of any workflow automatically/progressUses TODO.md and task_plan.md to assess completion status/handoff-and-resumeReads last handoff to rebuild state on resume/session-summaryCross-references loaded context with session actions for accuracy

Execution Order

User triggers action β†’ Auto-Context activates (this skill) β†’ Context summary presented β†’ Primary skill/command executes with full awareness

Quick Reference

Context Loading Checklist: 1. Read TODO.md (critical) 2. Read roadmap.md (critical) 3. Read task_plan.md (if exists) 4. Read last 3 handoffs (if exist) 5. Check file staleness 6. Read findings/changelog (if relevant) 7. Present context summary 8. Proceed with task

NEVER Do

NEVER skip critical files to save time β€” leads to duplicate work and conflicting implementations NEVER load every file regardless of task β€” wastes tokens and dilutes focus with irrelevant info NEVER ignore staleness warnings β€” stale context causes decisions based on outdated assumptions NEVER read files without summarizing β€” raw file dumps overwhelm; always synthesize first NEVER assume context from memory alone β€” sessions are stateless; always re-read files NEVER silently proceed when no context exists β€” user should know they're operating blind NEVER read handoffs/sessions beyond the limit β€” last 3 handoffs and last 2 sessions are sufficient

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs
  • SKILL.md Primary doc
  • README.md Docs