context

name	context
version	1.0.0
description	[Utilities] Use when you need to load project context for current session.
disable-model-invocation	false

Quick Summary

Goal: Load project context for the current session (git status, branch info, recent changes).

Workflow:

1. Gather -- Run git status, branch info, recent commits
2. Analyze -- Identify current work context and pending changes
3. Present -- Summarize context for session awareness

Key Rules:

• Provides situational awareness at session start
• Shows branch, uncommitted changes, recent commits
• Non-destructive: read-only operation

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Load Project Context

Load current development context to help with subsequent tasks.

Git Status

git status --short
git branch --show-current

Recent Activity

# Recent commits
git log --oneline -5

# Uncommitted changes
git diff --stat

Project Pattern Discovery

Read docs/project-config.json for project-specific module paths. Check modules[] for service/app list, or fall back to backendServices.serviceMap / frontendApps.appMap in older configs. If file not found, discover structure dynamically:

# Find backend service directories
find . -path "*/node_modules" -prune -o -name "*.csproj" -maxdepth 5 -print | head -20

# Find frontend app directories
find . -path "*/node_modules" -prune -o -name "package.json" -maxdepth 5 -print | head -10

# Find shared libraries
find . -path "*/libs/*" -name "package.json" -maxdepth 4 | head -10

Development Patterns

Backend: Clean Architecture + CQRS + Entity Events Frontend: Component framework + state management

Current Session Focus

Based on the git status, identify:

• What files are being worked on
• What feature/fix is in progress
• Any uncommitted changes that need attention

Summarize the current state to help with subsequent tasks.

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[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.

AI Mistake Prevention — Failure modes to avoid on every task:

Re-read files after context changes. Context compaction, resume, or long-running work can make memory stale; verify current files before acting. Verify generated content against source evidence. AI hallucinates APIs, names, claims, and document facts. Check the relevant source before documenting or referencing. Check downstream references before deleting or renaming. Removing an artifact can stale docs, generated mirrors, configs, and callers; map references first. Trace the full impact chain after edits. Changing a definition can miss derived outputs and consumers. Follow the affected chain before declaring done. Verify ALL affected outputs, not just the first. One green check is not all green checks; validate every output surface the change can affect. Assume existing values are intentional — ask WHY before changing. Before changing a constant, limit, flag, wording, or pattern, read nearby context and history. Surface ambiguity before acting — don't pick silently. Multiple valid interpretations require an explicit question or stated assumption with risk. Keep shared guidance role-relevant. Universal guidance must help every receiving skill or agent; code-specific obligations belong only in code-specific protocols.

Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.

MUST ATTENTION apply critical + sequential thinking — every claim needs appropriate traced evidence (file:line for repo/code claims; source URL or artifact section for research, product, content, and docs claims); confidence >80% to act, <60% DO NOT recommend. Anti-hallucination: never present guess as fact, admit uncertainty freely, cross-reference independently, stay skeptical of own confidence.

MUST ATTENTION apply AI mistake prevention — verify generated content against evidence, trace downstream references before deleting or renaming, verify all affected outputs, re-read files after context loss, and surface ambiguity before acting.

Closing Reminders

IMPORTANT MUST ATTENTION Protocols in force (concise digest of the SYNC/shared blocks this skill carries):

• AI Mistake Prevention: verify generated content against evidence, trace downstream references, verify all affected outputs, re-read after context loss, surface ambiguity.

• Critical Thinking: traced file:line proof, confidence >80% to act, never guess as fact.

• MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting

• MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code

• MANDATORY IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)

• MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality

[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.