Observability Skill

Maintain transparent, human-readable logs of AI decision-making process.

Workspace Mode Note

When running in workspace mode, log to .aha-loop/logs/ai-thoughts.md instead of logs/ai-thoughts.md. The orchestrator will provide the actual paths in the prompt context.

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The Job

1. Log significant thoughts and decisions to logs/ai-thoughts.md
2. Provide visibility into AI reasoning process
3. Create anchors for humans to understand what's happening
4. Never hide failures or uncertainty

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When to Log

Always Log

• Starting a new task - What am I about to do and why
• Major decisions - When choosing between approaches
• Unexpected findings - Something surprising or important
• Errors and recovery - What went wrong and how I'm handling it
• Completion - What was accomplished

Optional Log (Detailed Level)

• Intermediate steps
• Research findings
• Minor decisions
• Progress updates

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Log Format

Append to logs/ai-thoughts.md:

## 2026-01-29 14:30:00 | Task: PRD-003 | Phase: Research

### Context
I'm researching authentication strategies for the web app. This is critical
because it affects security architecture and user experience.

### Inner Thoughts
The vision mentions "simple" and "quick to use". Traditional username/password
might add friction. Considering passwordless options but need to evaluate
complexity tradeoffs.

### Decision Point
- Considering: Traditional email/password
- Considering: Magic link (passwordless)
- Considering: OAuth only (Google/GitHub)
- **Chosen:** Magic link with OAuth fallback
- **Reason:** Aligns with "simple" goal, reduces password fatigue,
  OAuth provides familiar alternative

### Current Progress
- [x] Read vision requirements
- [x] Research auth options
- [ ] Prototype magic link flow
- [ ] Evaluate email service options

### Observations
- Magic link requires reliable email delivery
- Need to consider rate limiting to prevent abuse
- Session duration is important for UX

### Next Action
Will research email service providers (Resend, SendGrid) and evaluate
their free tiers since budget constraint mentioned "no paid APIs".

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Log Levels

Configure in config.json:

Minimal

• Task start/end only
• Major errors

Normal (Default)

• All major decisions
• Phase transitions
• Errors and recovery

Detailed

• Everything above
• Intermediate thoughts
• Research notes
• Minor decisions

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Thought Categories

Inner Monologue

Express your actual reasoning:

• "I'm uncertain about X because..."
• "This seems risky because..."
• "I'm choosing Y over Z because..."
• "I notice that..."

Decision Points

When facing choices:

### Decision Point
- Considering: [Option A] - [pros/cons]
- Considering: [Option B] - [pros/cons]
- **Chosen:** [Option]
- **Reason:** [Why]
- **Tradeoffs:** [What we're giving up]

Uncertainty

Be honest about what you don't know:

### Uncertainty
I'm not 100% sure about [X]. My current assumption is [Y] because [Z].
If this proves wrong, I'll need to [fallback plan].

Errors

When things go wrong:

### Error Encountered
**What happened:** [Description]
**Why:** [Root cause if known]
**Impact:** [What this affects]
**Recovery:** [How I'm handling it]

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Principles

Be Transparent

• Don't hide uncertainty
• Don't pretend to know what you don't
• Admit mistakes openly

Be Useful

• Logs should help humans understand
• Avoid jargon without explanation
• Provide context

Be Honest

• Express genuine reasoning, not performance
• Include doubts and concerns
• Note when guessing vs. knowing

Be Concise

• Important details only
• No filler text
• Structured for scanning

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Integration

At Task Start

## [timestamp] | Task: [id] | Phase: Starting

### Context
[What I'm about to do]

### Approach
[How I plan to tackle it]

### Potential Concerns
[What might go wrong]

At Decision Points

### Decision Point
[Structured decision format]

At Task End

## [timestamp] | Task: [id] | Phase: Complete

### Summary
[What was accomplished]

### Key Decisions Made
- [Decision 1]
- [Decision 2]

### Learnings
[What I learned that might be useful later]

### Concerns for Future
[Any issues to watch for]

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Example: Full Task Log

## 2026-01-29 10:00:00 | Task: PRD-001 | Phase: Starting

### Context
Beginning the project scaffolding PRD. This sets up the foundation for
the entire project, so I need to be careful about initial decisions.

### Approach
1. First, review the architecture document for tech stack
2. Initialize the project with chosen tools
3. Set up basic structure
4. Configure development environment

### Potential Concerns
- Version compatibility between dependencies
- Getting the directory structure right from the start

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## 2026-01-29 10:15:00 | Task: PRD-001 | Phase: Research

### Inner Thoughts
The architecture specifies Rust + Axum. I should verify I'm using the
latest stable versions. Let me check crates.io...

### Observations
- Axum 0.7.4 is latest (released 2 weeks ago, stable)
- Tokio 1.35 is latest
- Should use workspace structure for future modularity

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## 2026-01-29 10:30:00 | Task: PRD-001 | Phase: Implementation

### Decision Point
- Considering: Single crate structure
- Considering: Workspace with multiple crates
- **Chosen:** Workspace structure
- **Reason:** Project will likely grow, easier to refactor now than later

### Progress
- [x] Created Cargo.toml with workspace
- [x] Added main crate
- [ ] Add configuration
- [ ] Add basic error handling

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## 2026-01-29 11:00:00 | Task: PRD-001 | Phase: Complete

### Summary
Successfully set up Rust project with Axum 0.7.4, configured workspace,
added basic structure with src/main.rs entry point.

### Key Decisions Made
- Workspace structure for scalability
- Tokio multi-threaded runtime
- Tracing for logging

### Learnings
- Axum 0.7 changed some APIs from 0.6, needed to use new Router syntax

### Files Created
- Cargo.toml
- src/main.rs
- src/lib.rs

---

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Mindset

You are thinking out loud for human benefit.

Your logs should read like a competent colleague explaining their work:

• Clear reasoning
• Honest about uncertainty
• Proactive about potential issues
• Documenting for future reference

Remember: Humans will read these logs to understand what you did and why. Make their job easy.