Agent skill

Discover

by ambient-code in ambient-code/platform

Discover domain-specific skills and context before starting any coding or spec work.

MITAuto-check passedDevelopment

Install Discover

skills CLI
$ npx skills add ambient-code/platform --skill discover -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ambient-code/platform discover --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ambient-code/platform.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/discover .claude/skills/discover && rm -rf skills-src

Use ~/.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/

Facts

Skill name
discover
GitHub stars
131
Token cost
~747 tokens
SKILL.md length
328 words
Files
2
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

Discover domain-specific skills and context before starting any coding or spec work.

  • Works in 6 steps: Identify Relevant Domains → Visit Each Domain → Load Domain Specs → …
  • : any code change
  • SKILL.md covers When to Use, User Input and Steps
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Discover is an agent skill from ambient-code/platform. Discover domain-specific skills and context before starting any coding or spec work. This is the mandatory first step for every task — no matter how trivial. Triggers on: any code change, spec change, implementation task, bug fix, refactor, feature work, or documentation update that touches component code or specs.

Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `evals/evals.json`).

It sits in Development, covering Debugging. The repository describes itself as: Vision/Mission https://ambient-code.ai : Virtual team management and collaboration platform. User guides: https://ambient-code.github.io/platform/. The licence is MIT.

When your agent uses it

  • : any code change
  • Implementation task
  • Documentation update that touches component code

Example prompts

  • “/discover”

Requirements

  • Docker

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Identify Relevant Domains
  2. Visit Each Domain
  3. Load Domain Specs
  4. Check Deployment Skills
  5. Check Standards
  6. Report and Proceed

What it can do on your machine

Read from SKILL.md and the folder at commit e15afd3. 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 (its code samples are bash).

    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

Discover loads about 747 tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 328 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~747

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 ambient-code/platform at commit e15afd3, republished under its MIT licence (© ambient-code). 328 words, ~747 tokens.

Download SKILL.mdSave it as .claude/skills/discover/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
discover
description
Discover domain-specific skills and context before starting any coding or spec work. This is the mandatory first step for every task — no matter how trivial. Triggers on: any code change, spec change, implementation task, bug fix, refactor, feature work, or documentation update that touches component code or specs.

Discover Domain Skills

Before writing or changing anything, discover what skills and context are available for the domains you're about to work in.

When to Use

Every time. This skill is the entry point for all coding and spec work. Do not skip it, even for one-line fixes.

User Input

text
$ARGUMENTS

If provided, use the input to narrow which domains to check. Otherwise, infer from the task context.

Steps

1. Identify Relevant Domains

Map the work to one or more capability domains:

DomainWhen working on
sessionsSession lifecycle, data model, API resources, messages, events
control-planeOperator, reconciliation, scheduling, runner provisioning
agentsAgent model, runner, runtime registry, prompts
integrationsMCP server, Gerrit, external services, feature flags
frontendUI components, pages, React Query hooks
authOAuth, credentials, RBAC, tokens
projectsProject management, settings, workspaces
cliTUI, acpctl commands
specsspecs

If unsure, check which specs/ subdirectories exist:

bash
ls -d specs/*/
2. Visit Each Domain

For every relevant domain, cd into its spec directory and list available skills:

bash
cd specs/{domain}
ls .claude/skills/ 2>/dev/null
ls skills/ 2>/dev/null

Read the SKILL.md of any discovered skill that looks relevant to the task at hand.

3. Load Domain Specs

While in the domain directory, check for specs that describe the desired state of what you're about to change:

bash
ls *.spec.md 2>/dev/null

Read the relevant spec before implementing — code reconciles against specs, not the other way around.

4. Check Deployment Skills

If the work involves deployment, manifests, Docker builds, or cluster operations, check for deployment skills:

bash
ls skills/deployments/ 2>/dev/null

Read the relevant SKILL.md — these contain environment config, prerequisites, and troubleshooting for deploying each component.

5. Check Standards

Load the standards for the component you're modifying:

bash
ls specs/standards/*/

Pick the relevant domain (backend, frontend, control-plane, security, platform).

6. Report and Proceed

Summarize what you found:

  • Which domains are involved
  • Which domain skills were discovered (if any)
  • Which specs describe the area being changed
  • Which standards apply

Do not output irrelevant context. Be extremely brief, like:

I will use skills x and y for this task.

Then proceed with the task, using the discovered skills and context.

© ambient-code, MIT. 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 1 other file in skills/discover of ambient-code/platform.

  • SKILL.md
  • evals/evals.json

Open the folder on GitHubat commit e15afd3

Compare with similar skills

Discover 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.

Discover compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Discover this skillambient-code/platform131—~747Automated safety check: PassMIT
Trellis Session Insightmindfold-ai/Trellis15k4 repos~1.7kAutomated safety check: PassAGPL-3.0
Native Data FetchingCherryHQ/cherry-studio-app4k6 repos~2.9kAutomated safety check: NotesMIT
Aoti Debugpytorch/pytorch104k1 repos~1.7kAutomated safety check: PassCustom licence
Herdr Throwaway Reproductionherdrdev/herdr43k—~2.4kAutomated safety check: PassApache-2.0
Systematic Debuggingultralisp/ultralisp25851 repos~2.4kAutomated safety check: PassNone

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Categories

Questions about Discover

What does Discover do?

Discover domain-specific skills and context before starting any coding or spec work. Discover is an agent skill from ambient-code/platform. Discover domain-specific skills and context before starting any coding or spec work.

When should I use Discover?

Discover fits situations like: : any code change; implementation task; documentation update that touches component code.

How do I install Discover in Claude Code?

Run `npx skills add ambient-code/platform --skill discover -a claude-code`. Or copy the skill folder (skills/discover in ambient-code/platform) into .claude/skills/discover in your project. Claude Code loads it when a task matches its description.

How do I install Discover in Codex?

Run `npx skills add ambient-code/platform --skill discover -a codex`. Or copy the skill folder (skills/discover in ambient-code/platform) into .agents/skills/discover in your project. Codex loads it when a task matches its description.

Can I use Discover 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 ambient-code/platform --skill discover -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/discover, .gemini/skills/discover, .github/skills/discover and .opencode/skills/discover in your project.

What does Discover need to run?

SKILL.md names no scripts, command-line tools or credentials: Discover is instructions for the agent only. Our summary lists: Docker.

Does Discover 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 Discover 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 Discover use?

Discover is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Discover use?

About 747 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 Discover?

Skills that share tags, products or a category with Discover: Trellis Session Insight (mindfold-ai/Trellis, 15k stars), Native Data Fetching (CherryHQ/cherry-studio-app, 4k stars), Aoti Debug (pytorch/pytorch, 104k stars) and Herdr Throwaway Reproduction (herdrdev/herdr, 43k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Discover?

ambient-code (a GitHub organization) maintains it in ambient-code/platform, which has 131 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 6, 2026.

Source: ambient-code/platform on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.