Agent skill

Faf Go

by sickn33 in sickn33/agentic-awesome-skills

Guided interview to Gold Code (100% AI-Readiness). An agent skill from sickn33/agentic-awesome-skills.

MITAuto-check passed

Install Faf Go

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill faf-go -a claude-code

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

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills faf-go --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/faf-go .claude/skills/faf-go && 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/

Paste into Claude Code

Install the "faf-go" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/faf-go into .claude/skills/faf-go/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "faf-go", 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

$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/faf-go

Type 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.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill faf-go -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills faf-go --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/faf-go .agents/skills/faf-go && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "faf-go" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/faf-go into .agents/skills/faf-go/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "faf-go", 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.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill faf-go -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills faf-go --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/faf-go .cursor/skills/faf-go && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "faf-go" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/faf-go into .cursor/skills/faf-go/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "faf-go", 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

$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/faf-go

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill faf-go -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills faf-go --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/faf-go .gemini/skills/faf-go && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "faf-go" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/faf-go into .gemini/skills/faf-go/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "faf-go", 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.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills faf-go

Installs 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).

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill faf-go -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/faf-go .github/skills/faf-go && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "faf-go" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/faf-go into .github/skills/faf-go/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "faf-go", 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.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill faf-go -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills faf-go --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/faf-go .opencode/skills/faf-go && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "faf-go" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/faf-go into .opencode/skills/faf-go/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "faf-go", 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: faf-go
GitHub stars: 47k
Used in: 1 other repo
Token cost: ~2.5k tokens
SKILL.md length: 651 words
Files: 1
Skills in repo: 1,493
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Guided interview to Gold Code (100% AI-Readiness). An agent skill from sickn33/agentic-awesome-skills.

Works in 4 steps: Check Current State → Ask Questions Using AskUserQuestion → Apply Answers → …
Helping users improve their .faf file through questions
SKILL.md covers When to Use This Skill, Integration with Claude Code, Workflow and Question Templates for…, plus 7 more sections
Calls pytest

What it does

Faf Go is an agent skill from sickn33/agentic-awesome-skills. Guided interview to Gold Code (100% AI-Readiness). Use when helping users improve their .faf file through questions. Leverages Claude Code's AskUserQuestion for seamless integration. Just type /faf-go and answer questions till done.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

Helping users improve their .faf file through questions

Example prompts

“/faf-go”

Requirements

Python 3

Workflow steps

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

Check Current State
Ask Questions Using AskUserQuestion
Apply Answers
Celebrate or Continue

What it can do on your machine

Read from SKILL.md and the folder at commit 680176d. 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:
- pytest
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

Faf Go loads about 2.5k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 651 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~60
When it runs · the whole SKILL.md, loaded when a task matches: ~2.5k

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 sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 651 words, ~2,465 tokens.

Download SKILL.mdSave it as .claude/skills/faf-go/SKILL.md (or your agent's skills folder).

name: faf-go
description: Guided interview to Gold Code (100% AI-Readiness). Use when helping users improve their .faf file through questions. Leverages Claude Code's AskUserQuestion for seamless integration. Just type /faf-go and answer questions till done.
risk: critical
source: https://github.com/Wolfe-Jam/faf-skills/tree/main/skills/faf-go
source_repo: Wolfe-Jam/faf-skills
source_type: community
date_added: 2026-07-01
license: MIT
license_source: https://github.com/Wolfe-Jam/faf-skills/blob/main/LICENSE

FAF Go — Guided Path to 100% ✪

"Just type /faf-go, answer questions till you're done. 100% target."

.faf is an IANA-registered context format (application/vnd.faf+yaml) — a typed, portable file you own, readable by any AI. faf-cli scores on 21 slots; your app_type selects which are active, and 100% ✪ = every active slot filled. This skill is the guided interview that gets you there: the AI fills what it can detect, then asks you — via Claude Code's AskUserQuestion — only for the gaps it can't source.

When to Use This Skill

Activate when:

User wants to improve their .faf score
User mentions "Gold Code" or "100%"
User has incomplete project context
After faf init to fill in missing fields
User says "help me with my .faf"

Integration with Claude Code

FAF Go is built FOR Claude Code:

AskUserQuestion - Native Claude Code UI for questions
multiSelect: true - Allow multiple answers (e.g., "pytest + WJTTC")
TodoWrite - Track progress through the interview
Structured output - JSON that Claude Code understands
Bi-sync - Answers flow to .faf AND CLAUDE.md

multiSelect Support

Some questions allow multiple selections:

stack.testing → "pytest + WJTTC"
stack.cicd → "GitHub Actions + Cloud Build"
stack.frontend → "React + Tailwind"
human_context.who → "Developers + AI agents"

When multiSelect: true, user can pick 2+ options. Results are joined with " + ".

Workflow

Step 1: Check Current State

Run faf score to understand current position:

bash

faf score --verbose

Or get it as structured data for programmatic use:

bash

faf score --json

--json returns the score + per-slot breakdown — the empty slots are what you interview on (the priority order is in Step 2).

Step 2: Ask Questions Using AskUserQuestion

For each missing field, use Claude Code's AskUserQuestion tool:

Priority Order (most impactful first):

project.goal - What does this project do?
human_context.why - Why does this exist?
human_context.who - Who uses this?
human_context.what - What problem does it solve?
project.main_language - Primary language
stack.database - Database choice
stack.hosting - Where is it deployed?
stack.frontend - Frontend framework
stack.backend - Backend framework
human_context.where - Environment
human_context.when - Timeline/phase
human_context.how - How the project is built (sourced from the stack)

Step 3: Apply Answers

After collecting answers, update the .faf file:

bash

# Read current .faf
cat project.faf

# Update fields (use Edit tool)
# Then verify:
faf score

Step 4: Celebrate or Continue

If score >= 100: Celebrate Gold Code achievement If score < 100: Continue with remaining questions

Question Templates for AskUserQuestion

Single-Select Questions (pick one)

project.goal

json

{
  "question": "What does this project do? (one clear sentence)",
  "header": "Goal",
  "multiSelect": false,
  "options": [
    {"label": "Let me type it", "description": "I'll describe it myself"},
    {"label": "Help me write it", "description": "Guide me through it"}
  ]
}

human_context.why

json

{
  "question": "Why does this project exist?",
  "header": "Why",
  "multiSelect": false,
  "options": [
    {"label": "Business need", "description": "Solving a business problem"},
    {"label": "Personal project", "description": "Learning or hobby"},
    {"label": "Open source", "description": "Community contribution"},
    {"label": "Let me explain", "description": "Custom reason"}
  ]
}

stack.database

json

{
  "question": "What database do you use?",
  "header": "Database",
  "multiSelect": false,
  "options": [
    {"label": "PostgreSQL", "description": "Relational database"},
    {"label": "MongoDB", "description": "Document database"},
    {"label": "SQLite", "description": "File-based database"},
    {"label": "None", "description": "No database"}
  ]
}

stack.hosting

json

{
  "question": "Where is this deployed?",
  "header": "Hosting",
  "multiSelect": false,
  "options": [
    {"label": "Vercel", "description": "Frontend/serverless"},
    {"label": "AWS", "description": "Amazon Web Services"},
    {"label": "Local only", "description": "Not deployed"},
    {"label": "Other", "description": "Different platform"}
  ]
}

Multi-Select Questions (pick multiple, joined with " + ")

stack.testing

json

{
  "question": "What testing tools/methodologies do you use?",
  "header": "Testing",
  "multiSelect": true,
  "options": [
    {"label": "pytest", "description": "Python testing framework"},
    {"label": "Jest", "description": "JavaScript testing"},
    {"label": "Vitest", "description": "Vite-native testing"},
    {"label": "WJTTC", "description": "Championship methodology (Layer 2)"}
  ]
}

Result format: pytest + WJTTC (industry first, WJTTC follows)

Ordering: When both selected, industry tests come first:

pytest + WJTTC (not WJTTC + pytest)
WJTTC can also run standalone

Show full SKILL.md (248 more words)Show less

stack.cicd

json

{
  "question": "What CI/CD tools do you use?",
  "header": "CI/CD",
  "multiSelect": true,
  "options": [
    {"label": "GitHub Actions", "description": "GitHub-native CI/CD"},
    {"label": "Cloud Build", "description": "Google Cloud CI/CD"},
    {"label": "CircleCI", "description": "CircleCI pipelines"},
    {"label": "None", "description": "No CI/CD yet"}
  ]
}

Result format: GitHub Actions + Cloud Build

stack.frontend

json

{
  "question": "What frontend technologies do you use?",
  "header": "Frontend",
  "multiSelect": true,
  "options": [
    {"label": "React", "description": "React framework"},
    {"label": "Next.js", "description": "React meta-framework"},
    {"label": "Svelte", "description": "Svelte framework"},
    {"label": "None/API-only", "description": "No frontend"}
  ]
}

human_context.who

json

{
  "question": "Who uses this project?",
  "header": "Users",
  "multiSelect": true,
  "options": [
    {"label": "Developers", "description": "Software developers"},
    {"label": "End users", "description": "Non-technical users"},
    {"label": "AI agents", "description": "Claude, Gemini, etc."},
    {"label": "Internal team", "description": "Your team only"}
  ]
}

Result format: Developers + AI agents

Processing Multi-Select Answers

When user selects multiple options, join them with " + ":

python

# Example: User selects ["pytest", "WJTTC"]
selected = ["pytest", "WJTTC"]
value = " + ".join(selected)  # "pytest + WJTTC"

This creates readable, scannable values in the .faf file:

yaml

stack:
  testing: pytest + WJTTC
  cicd: GitHub Actions + Cloud Build

Example Session

User: /faf-go

Claude: Let me check your current .faf status.

[Runs: faf score --verbose]

Your score is 45%. Let's get you to Gold Code!

[Uses AskUserQuestion for project.goal]

User: [Selects option or types custom]

Claude: Great! Now let's capture why this project exists.

[Uses AskUserQuestion for human_context.why]

... continues until 100% ...

Claude: ✪ GOLD CODE ACHIEVED!
Your AI now has complete context for championship performance.

TodoWrite Integration

Track progress with todos:

javascript

[
  {"content": "Answer project.goal question", "status": "completed"},
  {"content": "Answer human_context.why question", "status": "in_progress"},
  {"content": "Answer stack.database question", "status": "pending"},
  {"content": "Verify Gold Code achieved", "status": "pending"}
]

CLI Fallback

Outside Claude Code, the same destination is reached with the CLI's own interactive interview:

bash

faf go            # interactive terminal interview (--resume continues a session)

This skill is the Claude-native version of that interview — AskUserQuestion instead of terminal prompts. For structured, programmatic data, use faf score --json.

Success Metrics

User reaches 100% score
All required fields filled with meaningful content
No placeholder values (TBD, Unknown, None where inappropriate)
User understands what each field is for

On Completion

When 100% ✪ is achieved:

✪ 100% — Gold Code

project.faf: complete
CLAUDE.md:   synced from .faf

Optionally run faf sync to emit CLAUDE.md / AGENTS.md from the .faf. Your AI now starts every session with complete project context.

faf-context — the builder's quickstart: hand the AI what it needs to hit 100%, fast
faf-wizard — done-for-you, one-click .faf for any project
faf-expert — master the format: scoring internals, MCP config, bi-sync, the full 21-slot model

.faf is the format. project.faf is the file. 100% ✪ AI-Readiness is the result.

MIT · part of the FAF skill family (faf-context · faf-wizard · faf-expert). Native to Claude Code.

Limitations

Use this skill only when the task clearly matches its upstream source and local project context.
Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.

Files

Just SKILL.md in skills/faf-go of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 680176d

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

lingxling/awesome-skills-cnantigravity-awesome-skills/skills/faf-go antigravity-awesome-skills/plugins/agentic-awesome-skills/skills/faf-go+1 more

Compare with similar skills

Faf Go 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.

Faf Go compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Faf Go this skillsickn33/agentic-awesome-skills	47k	1 repos	~2.5k	Automated safety check: Pass	MIT	today
Interviewalirezarezvani/claude-skills	28k	—	~1.1k	Automated safety check: Pass	MIT	1 mo ago
Discovery Interview Guidemohitagw15856/pm-claude-skills	1.4k	—	~2k	Automated safety check: Pass	MIT	today
Interviewcodewhale-hq/Codewhale	41k	—	~232	Automated safety check: Pass	MIT	today
Interview Meaddyosmani/agent-skills	103k	6 repos	~3.8k	Automated safety check: Pass	MIT	5 days ago
InterviewQ00/ouroboros	6.2k	—	~13k	Automated safety check: Pass	MIT	yesterday

Similar skills

Interview
alirezarezvani/claude-skills
Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table + v1/v2 deferrals + eval plan) WITHOUT…
28k GitHub stars~1.1k tokensUpdated 1 mo ago
Agent WorkflowsAuto-check passed
Discovery Interview Guide
mohitagw15856/pm-claude-skills
Create a structured user discovery interview guide with screener questions, a discussion guide, and a synthesis framework.
1.4k GitHub stars~2k tokensUpdated today
Product & Project ManagementAuto-check passed
Interview
codewhale-hq/Codewhale
Ask one useful structured question at a time only when material product/implementation choices are genuinely missing; remember answers and produce a brief/spec.
41k GitHub stars~232 tokensUpdated today
Auto-check passed
Interview Me
addyosmani/agent-skills
Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.
103k GitHub starsUsed in 6 repos~3.8k tokens
Agent WorkflowsAuto-check passed
Interview
Q00/ouroboros
Socratic interview to crystallize vague requirements. An agent skill from Q00/ouroboros.
6.2k GitHub stars~13k tokensUpdated yesterday
Agent WorkflowsAuto-check passed
Write Guide
vercel/next.js
Official
Generates technical guides that teach real-world use cases through progressive examples.
143k GitHub stars~1.6k tokensUpdated today
DevelopmentAuto-check passed

Questions about Faf Go

What does Faf Go do?

Guided interview to Gold Code (100% AI-Readiness). An agent skill from sickn33/agentic-awesome-skills. Faf Go is an agent skill from sickn33/agentic-awesome-skills. Guided interview to Gold Code (100% AI-Readiness).

When should I use Faf Go?

Faf Go fits situations like: helping users improve their .faf file through questions.

How do I install Faf Go in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill faf-go -a claude-code`. Or copy the skill folder (skills/faf-go in sickn33/agentic-awesome-skills) into .claude/skills/faf-go in your project. Claude Code loads it when a task matches its description.

How do I install Faf Go in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill faf-go -a codex`. Or copy the skill folder (skills/faf-go in sickn33/agentic-awesome-skills) into .agents/skills/faf-go in your project. Codex loads it when a task matches its description.

Can I use Faf Go 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 sickn33/agentic-awesome-skills --skill faf-go -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/faf-go, .gemini/skills/faf-go, .github/skills/faf-go and .opencode/skills/faf-go in your project.

What does Faf Go need to run?

Going by SKILL.md and its folder, Faf Go needs the command-line tools its instructions call (pytest). Our summary lists: Python 3.

Does Faf Go 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 Faf Go 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 Faf Go use?

Faf Go is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Faf Go use?

About 2.5k tokens (SKILL.md is roughly 9.9k 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 Faf Go?

Skills that share tags, products or a category with Faf Go: Interview (alirezarezvani/claude-skills, 28k stars), Discovery Interview Guide (mohitagw15856/pm-claude-skills, 1.4k stars), Interview (codewhale-hq/Codewhale, 41k stars) and Interview Me (addyosmani/agent-skills, 103k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Faf Go?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Faf Go

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

FAF Go — Guided Path to 100% ✪

When to Use This Skill

Integration with Claude Code

multiSelect Support

Workflow

Step 1: Check Current State

Step 2: Ask Questions Using AskUserQuestion

Step 3: Apply Answers

Step 4: Celebrate or Continue

Question Templates for AskUserQuestion

Single-Select Questions (pick one)

project.goal

human_context.why

stack.database

stack.hosting

Multi-Select Questions (pick multiple, joined with " + ")

stack.testing

stack.cicd

stack.frontend

human_context.who

Processing Multi-Select Answers

Example Session

TodoWrite Integration

CLI Fallback

Success Metrics

On Completion

Related Skills

Limitations

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from sickn33/agentic-awesome-skills

Questions about Faf Go