Track architectural decisions and detect drift from ADRs (Architecture Decision Records). Calculate alignment score (0.00-1.00) showing code-to-design conformance. Auto-detect architectural violations and suggest refactoring. Integrate with Serena for architectural health monitoring. Use when: maintaining architectural integrity, reviewing large changes, documenting decisions, detecting drift, enforcing standards.
EnglishRestore previous session state from Serena MCP checkpoints. Retrieves checkpoint by ID or auto-selects most recent, deserializes context, restores command/skill/phase/wave state. Use when: resuming after context loss, continuing previous session, recovering from interruption.
EnglishUse automatically when prompts exceed 3000 characters, files exceed 500 lines, or large files are referenced - enforces complete line-by-line reading protocol with quantitative comprehension verification before processing, preventing partial comprehension and ensuring thorough…
EnglishUse when analyzing critical documents, specifications, or large files (>3000 lines), before any synthesis or conclusions - enforces complete line-by-line reading with quantitative verification to prevent skimming that leads to incomplete…
EnglishWrite functional tests that test public interfaces only (HTTP APIs via requests, libraries via exported functions, CLIs via command execution). Never test internal functions directly. Expose observability APIs for internal behavior testing.
EnglishQUANTITATIVE skill for validating wave deliverables against goal milestones using 0-100% alignment scoring. Prevents scope drift, detects misalignment, enforces goal-wave consistency. Requires goal-management for milestone data. Essential for multi-wave projects to maintain North Star alignment throughout execution.
EnglishFLEXIBLE skill for North Star goal tracking with Serena MCP persistence. Parses vague goals into measurable criteria, tracks progress percentages, maintains goal history, integrates with wave execution. Prevents goal drift and context loss through structured storage. Essential for multi-session projects.
EnglishSystematic gap analysis for claimed vs actual work completion. Uses 100+ sequential thoughts to identify assumptions, partial completions, missing components, and rationalization patterns. Validates completion claims against original plans, detects scope deviations, reveals quality gaps. Essential for self-assessment before declaring work complete. Use when: claiming completion, final reviews, quality audits, detecting rationalization patterns in own work.
EnglishContext-aware task execution with Serena MCP backend. First time: Explores project, saves to Serena, runs spec if complex, executes waves. Returning: Loads from Serena (<1s), detects changes, executes with cached context. Intelligently decides when to research, when to spec, when to prime. One catch-all intelligent execution command. Use when: User wants task executed in any project (new or existing).
EnglishComprehensive post-build verification of Shannon Framework's application outputs using three-layer methodology: Flow Verification (execution trace analysis), Artifact…
English
AGENT SKILLS ATLASIncludes Architecture Evolution Tracking, Context Restoration, Forced Reading Auto Activation, and other workflows.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Architecture Evolution Tracking
Track architectural decisions and detect drift from ADRs (Architecture Decision Records). Calculate alignment score (0.00-1.00) showing code-to-design conformance. Auto-detect architectural violations and suggest refactoring. Integrate with Serena for architectural health monitoring. Use when: maintaining architectural integrity, reviewing large changes, documenting decisions, detecting drift, enforcing standards.
Context Restoration
Restore previous session state from Serena MCP checkpoints. Retrieves checkpoint by ID or auto-selects most recent, deserializes context, restores command/skill/phase/wave state. Use when: resuming after context loss, continuing previous session, recovering from interruption.
Forced Reading Auto Activation
Use automatically when prompts exceed 3000 characters, files exceed 500 lines, or large files are referenced - enforces complete line-by-line reading protocol with quantitative comprehension verification before processing, preventing partial comprehension and ensuring thorough understanding
Forced Reading Protocol
Use when analyzing critical documents, specifications, or large files (>3000 lines), before any synthesis or conclusions - enforces complete line-by-line reading with quantitative verification to prevent skimming that leads to incomplete understanding
Functional Testing
Write functional tests that test public interfaces only (HTTP APIs via requests, libraries via exported functions, CLIs via command execution). Never test internal functions directly. Expose observability APIs for internal behavior testing.
Goal Alignment
QUANTITATIVE skill for validating wave deliverables against goal milestones using 0-100% alignment scoring. Prevents scope drift, detects misalignment, enforces goal-wave consistency. Requires goal-management for milestone data. Essential for multi-wave projects to maintain North Star alignment throughout execution.
Goal Management
FLEXIBLE skill for North Star goal tracking with Serena MCP persistence. Parses vague goals into measurable criteria, tracks progress percentages, maintains goal history, integrates with wave execution. Prevents goal drift and context loss through structured storage. Essential for multi-session projects.
Honest Reflections
Systematic gap analysis for claimed vs actual work completion. Uses 100+ sequential thoughts to identify assumptions, partial completions, missing components, and rationalization patterns. Validates completion claims against original plans, detects scope deviations, reveals quality gaps. Essential for self-assessment before declaring work complete. Use when: claiming completion, final reviews, quality audits, detecting rationalization patterns in own work.
Intelligent Do
Context-aware task execution with Serena MCP backend. First time: Explores project, saves to Serena, runs spec if complex, executes waves. Returning: Loads from Serena (<1s), detects changes, executes with cached context. Intelligently decides when to research, when to spec, when to prime. One catch-all intelligent execution command. Use when: User wants task executed in any project (new or existing).
Shannon Execution Verifier
Comprehensive post-build verification of Shannon Framework's application outputs using three-layer methodology: Flow Verification (execution trace analysis), Artifact Ver
Quick start
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Try it with your agent
After installation, start with a request like:
Use the Architecture Evolution Tracking skill to help with my task.
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