Agent skill

Functional Area Resolver

by inbrainfun in inbrainfun/inbrain

Compress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers.

Custom licenceAuto-check passedBackend & APIs

Install Functional Area Resolver

skills CLI
$ npx skills add inbrainfun/inbrain --skill functional-area-resolver -a claude-code

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

GitHub CLI
$ gh skill install inbrainfun/inbrain functional-area-resolver --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/inbrainfun/inbrain.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/functional-area-resolver .claude/skills/functional-area-resolver && 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
functional-area-resolver
GitHub stars
142
Used in
1 other repo
Token cost
~4k tokens
SKILL.md length
1,759 words
Files
2
Skills in repo
54
Repo updated
First seen
Licence
Custom licence

At a glance

Compress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers.

  • Works in 7 steps: Preconditions → When to compress which file → Identify functional areas → …
  • Tasks that involve GraphQL
  • SKILL.md covers Problem, Solution: Functional-Area…, Why It Works and A/B Eval Results, plus 6 more sections
  • Calls node and git; needs ANTHROPIC_API_KEY

What it does

Functional Area Resolver is an agent skill from inbrainfun/inbrain. Compress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers. Each area lists sub-skills in a "(dispatcher for: ...)" clause. The LLM reads one area entry and routes to the correct sub-skill. Proven via held-out A/B eval: dispatcher pattern outperforms naive pipe-table compression.

Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.

It sits in Backend & APIs, covering GraphQL.

When your agent uses it

  • Tasks that involve GraphQL

Example prompts

  • “(dispatcher for: ...)”
  • “/functional-area-resolver”

Workflow steps

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

  1. Preconditions
  2. When to compress which file
  3. Identify functional areas
  4. Build the area entry format
  5. Keep always-on entries separate
  6. (MANDATORY): Verify routing accuracy
  7. Review the diff before committing

What it can do on your machine

Read from SKILL.md and the folder at commit 5231990. 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

    Shell commands in SKILL.md call:

    • node
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • arxiv.org
    • anthropic.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • ANTHROPIC_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Functional Area Resolver loads about 4k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 1,759 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~4k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,759 words (~4,045 tokens).

“Routing files (RESOLVER.md, AGENTS.md) grow as skills are added. Each skill gets its own row (trigger -> skill path). At ~200+ skills this hits 25-30KB, eating context budget that should go to actual work.”

— opening of SKILL.md by inbrainfun, Custom licence
name
functional-area-resolver
version
1.0.0
prompt_version
1
triggers
compress agents.md, compress my resolver, resolver too big, resolver.md too big, agents.md too large, shrink routing table, slim down agents.md, functional…
tools
exec, read, write, edit
mutating
true
brain_first
exempt

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in skills/functional-area-resolver of inbrainfun/inbrain.

  • SKILL.md
  • routing-eval.jsonl

Open the folder on GitHubat commit 5231990

Used in 1 other repository

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in inbrainfun/inbrain, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Functional Area Resolver 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.

Functional Area Resolver compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Functional Area Resolver this skillinbrainfun/inbrain1421 repos~4kAutomated safety check: PassCustom licence
QA Find Bugs MCPbex-co/beancount-io294—~3kAutomated safety check: PassMIT
Shopifyasgeirtj/system_prompts_leaks69k—~2kAutomated safety check: PassCC0-1.0
MondayLeoYeAI/openclaw-master-skills2.2k—~4.3kAutomated safety check: PassMIT
Apollo MCP Servermajiayu000/claude-skill-registry6661 repos~1.3kAutomated safety check: PassMIT
Linearmagnus919/agent-skills111—~1.9kAutomated safety check: NotesMIT

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Questions about Functional Area Resolver

What does Functional Area Resolver do?

Compress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers. Functional Area Resolver is an agent skill from inbrainfun/inbrain.md) by converting granular skill-per-row tables into functional-area dispatchers.

When should I use Functional Area Resolver?

Functional Area Resolver fits situations like: tasks that involve GraphQL.

How do I install Functional Area Resolver in Claude Code?

Run `npx skills add inbrainfun/inbrain --skill functional-area-resolver -a claude-code`. Or copy the skill folder (skills/functional-area-resolver in inbrainfun/inbrain) into .claude/skills/functional-area-resolver in your project. Claude Code loads it when a task matches its description.

How do I install Functional Area Resolver in Codex?

Run `npx skills add inbrainfun/inbrain --skill functional-area-resolver -a codex`. Or copy the skill folder (skills/functional-area-resolver in inbrainfun/inbrain) into .agents/skills/functional-area-resolver in your project. Codex loads it when a task matches its description.

Can I use Functional Area Resolver 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 inbrainfun/inbrain --skill functional-area-resolver -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/functional-area-resolver, .gemini/skills/functional-area-resolver, .github/skills/functional-area-resolver and .opencode/skills/functional-area-resolver in your project.

What does Functional Area Resolver need to run?

Going by SKILL.md and its folder, Functional Area Resolver needs the command-line tools its instructions call (node and git) and credentials named ANTHROPIC_API_KEY.

Does Functional Area Resolver access the network?

SKILL.md names 2 domains. As links in the text: arxiv.org and anthropic.com. This is read from the text; nothing was executed.

Is Functional Area Resolver 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 Functional Area Resolver use?

Functional Area Resolver has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Functional Area Resolver use?

About 4k tokens (SKILL.md is roughly 16k 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 Functional Area Resolver?

Skills that share tags, products or a category with Functional Area Resolver: QA Find Bugs MCP (bex-co/beancount-io, 294 stars), Shopify (asgeirtj/system_prompts_leaks, 69k stars), Monday (LeoYeAI/openclaw-master-skills, 2.2k stars) and Apollo MCP Server (majiayu000/claude-skill-registry, 666 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Functional Area Resolver?

inbrainfun (a GitHub user) maintains it in inbrainfun/inbrain, which has 142 GitHub stars. The repository holds 54 skills in this directory. The repository was last updated on July 17, 2026.

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