observability
Logs AI thoughts and decisions for human observability. Applies continuously throughout all tasks to maintain transparency.
Best use case
observability is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Logs AI thoughts and decisions for human observability. Applies continuously throughout all tasks to maintain transparency.
Teams using observability should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/observability/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How observability Compares
| Feature / Agent | observability | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Logs AI thoughts and decisions for human observability. Applies continuously throughout all tasks to maintain transparency.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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. --- ## 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 --- ## 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 --- ## Log Format Append to `logs/ai-thoughts.md`: ```markdown ## 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". --- ``` --- ## 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 --- ## 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: ```markdown ### 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: ```markdown ### 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: ```markdown ### Error Encountered **What happened:** [Description] **Why:** [Root cause if known] **Impact:** [What this affects] **Recovery:** [How I'm handling it] ``` --- ## 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 --- ## Integration ### At Task Start ```markdown ## [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 ```markdown ### Decision Point [Structured decision format] ``` ### At Task End ```markdown ## [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] ``` --- ## Example: Full Task Log ```markdown ## 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 --- ## 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 --- ## 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 --- ## 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 --- ``` --- ## 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.
Related Skills
vision
Parses and analyzes project vision to extract structured requirements. Use at project start to understand goals, scope, and constraints. Triggers on: analyze vision, parse project goals, understand requirements.
vision-builder
Builds project visions through interactive guided conversation. Use when users have vague ideas needing structure. Triggers on: build vision, I have an idea, start new project, new idea.
skill-creator
Creates new Skills following Anthropic best practices. Use when discovering reusable workflows or repetitive patterns. Triggers on: create skill, new workflow, codify this process, standardize workflow.
roadmap
Creates and manages project roadmaps with milestones and PRD queues. Use after architecture is defined for project planning. Triggers on: create roadmap, plan milestones, organize prds.
research
Conducts deep technical research for Aha Loop stories. Use before implementing stories involving unfamiliar libraries or architectural decisions. Triggers on: research this, investigate, explore options, compare alternatives.
prd
Generates Product Requirements Documents (PRD) for new features. Use when planning features or starting projects. Triggers on: create prd, write prd, plan feature, requirements, spec out.
prd-converter
Converts PRDs to prd.json format for Aha Loop autonomous execution. Use when converting existing PRDs to JSON format. Triggers on: convert prd, create prd.json, aha-loop format.
plan-review
Reviews and adjusts PRD plans based on research findings. Use after completing research to evaluate story modifications. Triggers on: review plan, adjust stories, update prd based on research.
parallel-explore
Guides parallel exploration of multiple implementation approaches using git worktrees. Use when facing decisions with multiple valid paths. Triggers on: explore options, compare approaches, parallel exploration.
god-member
Defines God Committee member behavior and responsibilities with oversight authority. Use when operating as a committee member. Triggers on: god committee, committee observation, council discussion.
god-intervention
Guides God Committee members through executing interventions. Use for repairs, rollbacks, and emergency actions. Triggers on: intervention, repair, rollback, emergency action.
god-consensus
Guides God Committee members through consensus-building for collective decisions. Use for proposals, voting, and disagreement resolution. Triggers on: consensus, voting, proposal, committee decision.