Install
$ agentstack add skill-agricidaniel-skill-forge-skill-forge ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Skill Forge — Ultimate Claude Code Skill Creator
Build production-grade Claude Code skills following the Agent Skills open standard, progressive disclosure architecture, and battle-tested patterns from high-performing skills like claude-seo and claude-ads.
Quick Reference
| Command | What it does | |---------|-------------| | /skill-forge | Interactive skill creation wizard | | /skill-forge plan | Architecture and design planning | | /skill-forge build | Scaffold and build a skill from plan | | /skill-forge review | Audit an existing skill for quality | | /skill-forge evolve | Improve skill based on feedback/issues | | /skill-forge eval | Run eval pipeline to test skill quality | | /skill-forge benchmark | Benchmark skill with variance analysis | | /skill-forge publish | Package and prepare for distribution | | /skill-forge convert | Convert skill to Codex/Gemini/Antigravity/Cursor |
Orchestration Logic
Interactive Mode (/skill-forge)
Walk the user through the full skill creation lifecycle:
- Discovery: Ask about the domain, use cases, and target users
- Architecture: Determine skill complexity tier and design structure
- Build: Generate all files following chosen template
- Review: Validate structure, frontmatter, triggers, and quality
- Eval: Run eval pipeline with assertions and grading
- Benchmark: Measure pass rate, time, tokens with variance analysis
- Iterate: Refine based on eval results and feedback
Command Routing
For specific commands, load the relevant sub-skill:
/skill-forge plan->skills/skill-forge-plan/SKILL.md/skill-forge build->skills/skill-forge-build/SKILL.md/skill-forge review->skills/skill-forge-review/SKILL.md/skill-forge evolve->skills/skill-forge-evolve/SKILL.md/skill-forge eval->skills/skill-forge-eval/SKILL.md/skill-forge benchmark->skills/skill-forge-benchmark/SKILL.md/skill-forge publish->skills/skill-forge-publish/SKILL.md/skill-forge convert->skills/skill-forge-convert/SKILL.md
Skill Complexity Tiers
Detect the appropriate tier based on user's description:
Tier 1: Single Skill (1 SKILL.md)
- Simple workflow or document generation
- No sub-skills or subagents needed
- Under 200 lines of instructions
- Template:
assets/templates/minimal.md
Tier 2: Skill + Scripts (SKILL.md + scripts/)
- Needs deterministic execution (validation, data processing)
- Python/Bash scripts for fragile operations
- Template:
assets/templates/workflow.md
Tier 3: Multi-Skill Orchestrator (main + sub-skills)
- Complex domain with multiple distinct workflows
- Main skill routes to specialized sub-skills
- Shared references across sub-skills
- Template:
assets/templates/multi-skill.md
Tier 4: Full Ecosystem (orchestrator + sub-skills + agents + scripts)
- Enterprise-grade skill with parallel subagent delegation
- Multiple execution scripts for deterministic tasks
- Industry templates and reference knowledge
- Template:
assets/templates/ecosystem.md
Core Principles (Enforce in ALL generated skills)
1. Progressive Disclosure (3 Levels)
- Level 1 (frontmatter): Always in system prompt. Name + description only (~50-100 tokens)
- Level 2 (SKILL.md body): Loaded on activation. Core instructions (` to verify programmatically.
Reference Files
Load on-demand as needed -- do NOT load all at startup:
references/anatomy.md-- Skill file structure, naming rules, agent formatreferences/patterns.md-- Proven workflow patterns with examplesreferences/frontmatter-spec.md-- YAML frontmatter specification (skills)references/description-guide.md-- Writing trigger-optimized descriptionsreferences/testing-guide.md-- Testing methodology and checklistreferences/pro-agent.md-- 3-layer architecture deep divereferences/tools-reference.md-- All tool names, permission patterns, MCPreferences/hooks-reference.md-- Hook events, types, quality gate patternsreferences/skills-activation.md-- Skill discovery, activation, advanced featuresreferences/platforms.md-- Platform specs and conversion rules
Sub-Skills
This skill orchestrates 8 specialized sub-skills:
- skill-forge-plan -- Architecture design and use case planning
- skill-forge-build -- Scaffold and generate skill files
- skill-forge-review -- Audit and validate existing skills
- skill-forge-evolve -- Improve skills based on feedback
- skill-forge-eval -- Run eval pipeline with assertions and grading
- skill-forge-benchmark -- Benchmark performance with variance analysis
- skill-forge-publish -- Package and prepare for distribution
- skill-forge-convert -- Convert skills for Codex, Gemini CLI, Antigravity, Cursor
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: AgriciDaniel
- Source: AgriciDaniel/skill-forge
- License: MIT
- Homepage: https://agricidaniel.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.