Vercel Optimize Audit
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
Logs AI thoughts and decisions for human observability. An agent skill from YougLin-dev/Aha-Loop.
$ npx skills add YougLin-dev/Aha-Loop --skill observability -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install YougLin-dev/Aha-Loop observability --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/YougLin-dev/Aha-Loop.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/observability .claude/skills/observability && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "observability" agent skill from https://github.com/YougLin-dev/Aha-Loop/tree/main/.agents/skills/observability into .claude/skills/observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/YougLin-dev/Aha-Loop/tree/main/.agents/skills/observabilityType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add YougLin-dev/Aha-Loop --skill observability -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install YougLin-dev/Aha-Loop observability --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/YougLin-dev/Aha-Loop.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/observability .agents/skills/observability && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "observability" agent skill from https://github.com/YougLin-dev/Aha-Loop/tree/main/.agents/skills/observability into .agents/skills/observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add YougLin-dev/Aha-Loop --skill observability -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install YougLin-dev/Aha-Loop observability --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/YougLin-dev/Aha-Loop.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/observability .cursor/skills/observability && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "observability" agent skill from https://github.com/YougLin-dev/Aha-Loop/tree/main/.agents/skills/observability into .cursor/skills/observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/YougLin-dev/Aha-Loop.git --path .agents/skills/observability--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add YougLin-dev/Aha-Loop --skill observability -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install YougLin-dev/Aha-Loop observability --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/YougLin-dev/Aha-Loop.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/observability .gemini/skills/observability && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "observability" agent skill from https://github.com/YougLin-dev/Aha-Loop/tree/main/.agents/skills/observability into .gemini/skills/observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install YougLin-dev/Aha-Loop observabilityInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add YougLin-dev/Aha-Loop --skill observability -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/YougLin-dev/Aha-Loop.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/observability .github/skills/observability && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "observability" agent skill from https://github.com/YougLin-dev/Aha-Loop/tree/main/.agents/skills/observability into .github/skills/observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add YougLin-dev/Aha-Loop --skill observability -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install YougLin-dev/Aha-Loop observability --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/YougLin-dev/Aha-Loop.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/observability .opencode/skills/observability && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "observability" agent skill from https://github.com/YougLin-dev/Aha-Loop/tree/main/.agents/skills/observability into .opencode/skills/observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observability", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
observabilityLogs AI thoughts and decisions for human observability. An agent skill from YougLin-dev/Aha-Loop.
Observability is an agent skill from YougLin-dev/Aha-Loop. Logs AI thoughts and decisions for human observability. Applies continuously throughout all tasks to maintain transparency.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Observability. The repository describes itself as: [MVP] Aha Loop is a fully autonomous AI development system, extended from the core ideas of Ralph. It's not just an execution engine, but a complete AI development framework with… The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 8d799b2. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Observability loads about 1.7k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 322 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from YougLin-dev/Aha-Loop at commit 8d799b2, republished under its MIT licence (© YougLin-dev). 322 words, ~1,672 tokens.
.claude/skills/observability/SKILL.md (or your agent's skills folder).Maintain transparent, human-readable logs of AI decision-making process.
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.
logs/ai-thoughts.mdAppend 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".
---Configure in config.json:
Express your actual reasoning:
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]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].When things go wrong:
### Error Encountered
**What happened:** [Description]
**Why:** [Root cause if known]
**Impact:** [What this affects]
**Recovery:** [How I'm handling it]## [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]### Decision Point
[Structured decision format]## [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]## 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
---You are thinking out loud for human benefit.
Your logs should read like a competent colleague explaining their work:
Remember: Humans will read these logs to understand what you did and why. Make their job easy.
© YougLin-dev, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/observability of YougLin-dev/Aha-Loop.
Open the folder on GitHubat commit 8d799b2
Observability next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Observability this skillYougLin-dev/Aha-Loop | 181 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Vercel Optimize Auditvercel-labs/agent-skills | 32k | 8 repos | ~4.3k | Automated safety check: Pass | None | |
| Kubeshark Installerkubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | |
| Kubeshark KFL2 Filter Referencekubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| KubeSphere ServiceMesh Managerkubesphere/kubesphere | 17k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Kubernetes Network Root Cause Analysiskubeshark/kubeshark | 12k | — | ~5.3k | Automated safety check: Pass | Apache-2.0 |
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
kubeshark/kubeshark
Syntax reference for KFL2, the CEL-based display filter language used to search Kubernetes network traffic captured by Kubeshark, loaded before any filter is written.
kubesphere/kubesphere
Installs, checks and troubleshoots the KubeSphere ServiceMesh extension (Istio, Kiali, Jaeger), including grayscale release, sidecar injection, topology and tracing issues.
kubeshark/kubeshark
Investigates past Kubernetes incidents from Kubeshark traffic snapshots: takes captures, dissects API calls, extracts PCAPs and compares traffic over time.
JuliusBrussee/caveman
Routes every LLM call in a repository through the Caveman Cloud gateway in record mode, so requests and costs are measured without changing behavior.
YougLin-dev/Aha-Loop
Designs system architecture and selects technology stack based on vision analysis.
YougLin-dev/Aha-Loop
Reviews and cleans up outdated documentation. An agent skill from YougLin-dev/Aha-Loop.
YougLin-dev/Aha-Loop
Guides God Committee members through consensus-building for collective decisions.
YougLin-dev/Aha-Loop
Guides God Committee members through executing interventions.
YougLin-dev/Aha-Loop
Defines God Committee member behavior and responsibilities with oversight authority.
YougLin-dev/Aha-Loop
Guides parallel exploration of multiple implementation approaches using git worktrees.
Categories
Logs AI thoughts and decisions for human observability. An agent skill from YougLin-dev/Aha-Loop. Observability is an agent skill from YougLin-dev/Aha-Loop. Logs AI thoughts and decisions for human observability.
Observability fits situations like: tasks that involve Observability.
Run `npx skills add YougLin-dev/Aha-Loop --skill observability -a claude-code`. Or copy the skill folder (.agents/skills/observability in YougLin-dev/Aha-Loop) into .claude/skills/observability in your project. Claude Code loads it when a task matches its description.
Run `npx skills add YougLin-dev/Aha-Loop --skill observability -a codex`. Or copy the skill folder (.agents/skills/observability in YougLin-dev/Aha-Loop) into .agents/skills/observability in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add YougLin-dev/Aha-Loop --skill observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/observability, .gemini/skills/observability, .github/skills/observability and .opencode/skills/observability in your project.
SKILL.md names no scripts, command-line tools or credentials: Observability is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Observability is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Observability: Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars), Kubeshark Installer (kubeshark/kubeshark, 12k stars), Kubeshark KFL2 Filter Reference (kubeshark/kubeshark, 12k stars) and KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
YougLin-dev (a GitHub user) maintains it in YougLin-dev/Aha-Loop, which has 181 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on February 3, 2026.
Source: YougLin-dev/Aha-Loop on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.