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.
Investigate Overmind traces, sessions, task executions, quality regressions, errors, latency and instrumentation gaps.
Install Overmind Observability
$ npx skills add overmind-core/overmind --skill overmind-observability -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install overmind-core/overmind overmind-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/overmind-core/overmind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/overmind/skills/overmind-observability .claude/skills/overmind-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 "overmind-observability" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-observability into .claude/skills/overmind-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-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/overmind-core/overmind/tree/main/overmind/skills/overmind-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 overmind-core/overmind --skill overmind-observability -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install overmind-core/overmind overmind-observability --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .agents/skills && cp -r skills-src/overmind/skills/overmind-observability .agents/skills/overmind-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 "overmind-observability" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-observability into .agents/skills/overmind-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-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 overmind-core/overmind --skill overmind-observability -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install overmind-core/overmind overmind-observability --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/overmind/skills/overmind-observability .cursor/skills/overmind-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 "overmind-observability" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-observability into .cursor/skills/overmind-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-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/overmind-core/overmind.git --path overmind/skills/overmind-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 overmind-core/overmind --skill overmind-observability -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install overmind-core/overmind overmind-observability --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/overmind/skills/overmind-observability .gemini/skills/overmind-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 "overmind-observability" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-observability into .gemini/skills/overmind-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-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 overmind-core/overmind overmind-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 overmind-core/overmind --skill overmind-observability -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .github/skills && cp -r skills-src/overmind/skills/overmind-observability .github/skills/overmind-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 "overmind-observability" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-observability into .github/skills/overmind-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-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 overmind-core/overmind --skill overmind-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 overmind-core/overmind overmind-observability --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/overmind/skills/overmind-observability .opencode/skills/overmind-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 "overmind-observability" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-observability into .opencode/skills/overmind-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-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.
Facts
- Skill name
overmind-observability- GitHub stars
- 597
- Token cost
- ~757 tokens
- SKILL.md length
- 359 words
- Files
- 3 (incl. assets)
- Skills in repo
- 20
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Investigate Overmind traces, sessions, task executions, quality regressions, errors, latency and instrumentation gaps.
- Diagnosing observed agent behaviour rather than creating training
- SKILL.md covers Investigate and Instrumentation gaps
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Evaluation runs
What it does
Overmind Observability is an agent skill from overmind-core/overmind. Investigate Overmind traces, sessions, task executions, quality regressions, errors, latency and instrumentation gaps. Use for diagnosing observed agent behaviour rather than creating training or evaluation runs.
Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including assets (for example `agents/openai.yaml`).
It sits in DevOps & Cloud, covering Observability. The repository describes itself as: The platform for continuously improving AI agents. The licence is AGPL-3.0.
When your agent uses it
- Diagnosing observed agent behaviour rather than creating training
- Evaluation runs
Example prompts
- “/overmind-observability”
What it can do on your machine
Read from SKILL.md and the folder at commit 3dec73c. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Overmind Observability loads about 757 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 359 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from overmind-core/overmind at commit 3dec73c, republished under its AGPL-3.0 licence (© overmind-core). 359 words, ~757 tokens.
Download SKILL.mdSave it as
.claude/skills/overmind-observability/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- overmind-observability
- description
- Investigate Overmind traces, sessions, task executions, quality regressions, errors, latency and instrumentation gaps. Use for diagnosing observed agent behaviour rather than creating training or evaluation runs.
Overmind Observability
Start with list_projects and choose the intended accessible project. For an
account connection, pass its project_id on every project tool and resource
URI query; follow returned links. Project API keys retain their narrower access.
Explain a measured problem using the smallest relevant set of traces and scored
executions. Use the configured MCP connection and identify the chosen project through
overmind://project/current?project_id=ID before combining evidence from the Console.
Investigate
For a named capability, prefer the native investigate-capability prompt when
available. For a trace, session or time-window question, start directly with the
matching resource or query_traces; a capability is not required for every query.
Resolve the affected period, deployment/model and capability from the request
and available evidence. Use inspect_capability_health for aggregates,
query_failures for scored failures and query_task_executions for behaviour
bindings. Follow returned trace or session links to inspect the failing step,
input, output, tool calls and parent-child relationships.
Keep comparisons on equivalent windows and cohorts. Report sample counts and pagination or truncation limits. An empty result, an unscored execution, an evaluator failure and a passing score are different observations. Separate technical errors from quality failures and correlation from a demonstrated cause.
When the evidence supports a regression, identify the affected behaviour and representative trace IDs, compare the relevant baseline, and explain the likely cause with its uncertainty. A diagnostic request does not itself authorize creating datasets, changing evaluators or starting provider runs.
Show full SKILL.md (128 more words)Show less
Instrumentation gaps
For a requested instrumentation change, prefer instrument-repository and the
server's get_instrumentation_plan. Preserve returned ticket identities,
placement modes and required spans. If the plan returns human_action or no
placements, follow that handoff; do not invent anchors or behaviour keys.
Apply authorized edits locally. Before a verification run, present its exact
command/input, environment, model/provider, side effects, correlation and attempt
limit for approval. Use that correlation as conversation.id, query its trace,
require exactly one complete, untruncated trace, and pass the returned spans
unchanged to verify_instrumentation. The verifier does not ingest traces.
Report the application's outcome separately from instrumentation coverage.
Finish with the finding, supporting trace/execution links and the remaining
uncertainty. Open observability under the returned Console base with the same
projectId when the user wants the visual trace view.
© overmind-core, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (assets) in overmind/skills/overmind-observability of overmind-core/overmind.
- SKILL.md
- agents/openai.yaml
- assets/icon.png
Open the folder on GitHubat commit 3dec73c
Compare with similar skills
Overmind 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 |
|---|---|---|---|---|---|---|
| Overmind Observability this skillovermind-core/overmind | 597 | — | ~757 | Automated safety check: Pass | AGPL-3.0 | |
| Vercel Optimize Auditvercel-labs/agent-skills | 32k | 9 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 |
Similar skills
- Official
Kubeshark Installer
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
Kubeshark KFL2 Filter Reference
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 ServiceMesh Manager
kubesphere/kubesphere
Installs, checks and troubleshoots the KubeSphere ServiceMesh extension (Istio, Kiali, Jaeger), including grayscale release, sidecar injection, topology and tracing issues.
Kubernetes Network Root Cause Analysis
kubeshark/kubeshark
Investigates past Kubernetes incidents from Kubeshark traffic snapshots: takes captures, dissects API calls, extracts PCAPs and compares traffic over time.
Caveman Gateway Setup
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.
More from overmind-core/overmind
All 20 skills in this repoAPI Endpoints
overmind-core/overmind
End-to-end workflow for adding or changing a backend API endpoint — which module the serializer and view belong in, URL registration, OpenAPI client regeneration, and typed consumption from the…
Finetuning Model Onboarding
overmind-core/overmind
Rules for adding a new model or model family to the finetuning pipeline, or changing finetuning behavior for an existing one — engine-agnostic customization via family hooks instead of if/else in…
Frontend Design
overmind-core/overmind
Overmind Console design system — semantic tokens, shared primitives, geometry and icons, the border-contrast floor, the duplicated table implementations, and the verification scripts.
MCP
overmind-core/overmind
End-to-end workflow for adding or changing Overmind MCP tools, resources, prompts, authentication, or result contracts — server layers, catalog registration, MCP-impact classification, and required…
PR Etiquette
overmind-core/overmind
How to open a complete pull request on overmind-core/overmind — the CI gates, the cross-cutting surfaces a change must carry with it (MCP, blast radius, the docs repo), gh pr edit being broken here…
Seed Demo Data
overmind-core/overmind
Run or modify the seeddemo management command (the one-project Support Copilot demo) without breaking the beat-safety invariants that keep celery workers from re-driving seeded rows.
Related
Categories
Questions about Overmind Observability
What does Overmind Observability do?
Investigate Overmind traces, sessions, task executions, quality regressions, errors, latency and instrumentation gaps. Overmind Observability is an agent skill from overmind-core/overmind. Investigate Overmind traces, sessions, task executions, quality regressions, errors, latency and instrumentation gaps.
When should I use Overmind Observability?
Overmind Observability fits situations like: diagnosing observed agent behaviour rather than creating training; evaluation runs.
How do I install Overmind Observability in Claude Code?
Run `npx skills add overmind-core/overmind --skill overmind-observability -a claude-code`. Or copy the skill folder (overmind/skills/overmind-observability in overmind-core/overmind) into .claude/skills/overmind-observability in your project. Claude Code loads it when a task matches its description.
How do I install Overmind Observability in Codex?
Run `npx skills add overmind-core/overmind --skill overmind-observability -a codex`. Or copy the skill folder (overmind/skills/overmind-observability in overmind-core/overmind) into .agents/skills/overmind-observability in your project. Codex loads it when a task matches its description.
Can I use Overmind Observability in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add overmind-core/overmind --skill overmind-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/overmind-observability, .gemini/skills/overmind-observability, .github/skills/overmind-observability and .opencode/skills/overmind-observability in your project.
What does Overmind Observability need to run?
SKILL.md names no scripts, command-line tools or credentials: Overmind Observability is instructions for the agent only.
Does Overmind Observability access the network?
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.
Is Overmind Observability safe to install?
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.
What licence does Overmind Observability use?
Overmind Observability is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Overmind Observability use?
About 757 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Overmind Observability?
Skills that share tags, products or a category with Overmind 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.
Who maintains Overmind Observability?
overmind-core (a GitHub organization) maintains it in overmind-core/overmind, which has 597 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 8, 2026.
Source: overmind-core/overmind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.