Skill

skillforge

Analyzes any input to recommend existing Claude Code skills, improve them, or create new ones via triage of 250+ skills, confidence matching, and multi-agent synthesis.

developer-tools

automation

npx claudepluginhub rjmurillo/ai-agents --plugin project-toolkit

Popularity

Parent stars

Parent forks

Invocation

How this skill is triggered — by the user, by Claude, or both

Slash command

/project-toolkit:SkillForge

User invocable

Model invocable

Inline context

Default effort

Configuration

Modelclaude-opus-4-6

Tool Access

This skill is limited to the following tools:

ReadGlobGrepWriteEdit

Context Preview

The summary Claude sees in its skill listing — used to decide when to auto-load this skill

Analyzes ANY input to find, improve, or create the right skill.

SKILL.md

1018 lines · ~8.6k tokens(exceeds 5k compaction limit)

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Creates, fixes, analyzes, and validates skills for AI agents. Includes scripts for structure checks, quality analysis, and character budget management.

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agent-skills

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Parent stars32

Parent forks6

MaintenanceExcellent

Last CommitApr 30, 2026

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SkillForge 4.1 - Intelligent Skill Router & Creator

Analyzes ANY input to find, improve, or create the right skill.

Quick Start

Any input works. SkillForge will intelligently route to the right action:

# These all work - SkillForge figures out what you need:

SkillForge: create a skill for automated code review
→ Creates new skill (after checking no duplicates exist)

help me debug this TypeError
→ Recommends ErrorExplainer skill (existing)

improve the testgen skill to handle React components better
→ Enters improvement mode for TestGen

do I have a skill for database migrations?
→ Recommends DBSchema, database-migration skills

TypeError: Cannot read property 'map' of undefined
→ Routes to debugging skills (error detected)

Triggers

Creation Triggers

SkillForge: {goal} - Full autonomous skill creation
create skill - Natural language activation
design skill for {purpose} - Purpose-first creation
ultimate skill - Emphasize maximum quality
skillforge --plan-only - Generate specification without execution

Routing Triggers (NEW in v4.0)

{any input} - Analyzes and routes automatically
do I have a skill for - Searches existing skills
which skill / what skill - Recommends matching skills
improve {skill-name} skill - Enters improvement mode
help me with / I need to - Detects task and routes

Input	Output	Quality Gate
Any input	Triage → Route → Action	Phase 0 analysis
Explicit create	New skill	Unanimous panel approval
Task/question	Skill recommendation	Match confidence ≥60%

Process Overview

ANY USER INPUT
(prompt, error, code, URL, question, task request)
    │
    ▼
┌─────────────────────────────────────────────────────┐
│ Phase 0: SKILL TRIAGE (NEW)                         │
│ • Classify input type (create/improve/question/task)│
│ • Scan 250+ skills in ecosystem                     │
│ • Match against existing skills with confidence %   │
│ • Route to: USE | IMPROVE | CREATE | COMPOSE        │
├─────────────────────────────────────────────────────┤
│         ↓ USE_EXISTING    ↓ IMPROVE      ↓ CREATE   │
│      [Recommend]      [Load & Enhance] [Continue]   │
└─────────────────────────────────────────────────────┘
    │ (if CREATE_NEW or IMPROVE_EXISTING)
    ▼
┌─────────────────────────────────────────────────────┐
│ Phase 1: DEEP ANALYSIS                              │
│ • Expand requirements (explicit, implicit, unknown) │
│ • Apply 11 thinking models + Automation Lens        │
│ • Question until no new insights (3 empty rounds)   │
│ • Identify automation/script opportunities          │
├─────────────────────────────────────────────────────┤
│ Phase 2: SPECIFICATION                              │
│ • Generate XML spec with all decisions + WHY        │
│ • Include scripts section (if applicable)           │
│ • Validate timelessness score ≥ 7                   │
├─────────────────────────────────────────────────────┤
│ Phase 3: GENERATION                                 │
│ • Write SKILL.md with fresh context                 │
│ • Generate references/, assets/, and scripts/       │
├─────────────────────────────────────────────────────┤
│ Phase 4: SYNTHESIS PANEL                            │
│ • 3-4 Opus agents review independently              │
│ • Script Agent added when scripts present           │
│ • All agents must approve (unanimous)               │
│ • If rejected → loop back with feedback             │
└─────────────────────────────────────────────────────┘
    │
    ▼
Production-Ready Agentic Skill

Key principles:

Phase 0 prevents duplicates - Always checks existing skills first
Evolution/timelessness is the core lens (score ≥ 7 required)
Every decision includes WHY
Zero tolerance for errors
Autonomous execution at maximum depth
Scripts enable self-verification and agentic operation

Tool Escalation Policy

Start with least privilege (Read, Glob, Grep, Write, Edit).

Only add higher-risk tools when explicitly required:

Bash for deterministic local scripts that cannot be replaced with file edits
WebFetch / WebSearch only when external facts are required
Task only for true parallel sub-agent orchestration

Commands

Command	Action
`SkillForge: {goal}`	Full autonomous execution
`SkillForge --plan-only {goal}`	Generate specification only
`SkillForge --quick {goal}`	Reduced depth (not recommended)
`SkillForge --triage {input}`	Run Phase 0 triage only
`SkillForge --improve {skill}`	Enter improvement mode for existing skill

Phase 0: Skill Triage (NEW in v4.0)

Before creating anything, SkillForge intelligently analyzes your input to determine the best action.

How It Works

┌────────────────────────────────────────────────────────────────────┐
│                        ANY USER INPUT                               │
│  (prompt, error, code, URL, question, task request, anything)      │
└────────────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌────────────────────────────────────────────────────────────────────┐
│  Step 1: INPUT CLASSIFICATION                                       │
│  ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐       │
│  │ explicit_create │ │ explicit_improve│ │ skill_question  │       │
│  │ "create skill"  │ │ "improve skill" │ │ "do I have..."  │       │
│  └─────────────────┘ └─────────────────┘ └─────────────────┘       │
│  ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐       │
│  │  task_request   │ │  error_message  │ │  code_snippet   │       │
│  │ "help me with"  │ │ "TypeError..."  │ │ [pasted code]   │       │
│  └─────────────────┘ └─────────────────┘ └─────────────────┘       │
└────────────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌────────────────────────────────────────────────────────────────────┐
│  Step 2: SKILL ECOSYSTEM SCAN                                       │
│  • Load index of 250+ skills (discover_skills.py)                  │
│  • Match input against all skills with confidence scoring          │
│  • Identify top matches with reasons                               │
└────────────────────────────────────────────────────────────────────┘
                              │
                              ▼
┌────────────────────────────────────────────────────────────────────┐
│  Step 3: DECISION MATRIX                                            │
│                                                                     │
│  Match ≥80%  + explicit create → CLARIFY (duplicate warning)       │
│  Match ≥80%  + other input     → USE_EXISTING (recommend skill)    │
│  Match 50-79%                  → IMPROVE_EXISTING (enhance match)  │
│  Match <50%  + explicit create → CREATE_NEW (proceed to Phase 1)   │
│  Multi-domain detected         → COMPOSE (suggest skill chain)     │
│  Ambiguous input               → CLARIFY (ask for more info)       │
└────────────────────────────────────────────────────────────────────┘

Decision Actions

Action	When	Result
USE_EXISTING	Match ≥80%	Recommends existing skill(s) to invoke
IMPROVE_EXISTING	Match 50-79%	Loads skill and enters enhancement mode
CREATE_NEW	Match <50%	Proceeds to Phase 1 (Deep Analysis)
COMPOSE	Multi-domain	Suggests skill chain via SkillComposer
CLARIFY	Ambiguous or duplicate	Asks user to clarify intent

Triage Script

# Run triage on any input
python scripts/triage_skill_request.py "help me debug this error"

# JSON output for automation
python scripts/triage_skill_request.py "create a skill for payments" --json

# Examples:
python scripts/triage_skill_request.py "TypeError: Cannot read property 'map'"
# → USE_EXISTING: Recommends ErrorExplainer (92%)

python scripts/triage_skill_request.py "create a skill for code review"
# → CLARIFY: CodeReview skill exists (85%), create anyway?

python scripts/triage_skill_request.py "help me with API and auth and testing"
# → COMPOSE: Multi-domain, suggests APIDesign + AuthSystem + TestGen chain

Ecosystem Index

Phase 0 uses a pre-built index of all skills:

# Rebuild skill index (run periodically or after installing new skills)
python scripts/discover_skills.py

# Index location: ~/.cache/skillrecommender/skill_index.json
# Scans: ~/.claude/skills/, plugins/marketplaces/*, plugins/cache/*

Integration with Phases 1-4

USE_EXISTING: Exits early, no creation needed
IMPROVE_EXISTING: Loads existing skill → Phase 1 analyzes gaps → Phase 2-4 enhance
CREATE_NEW: Full pipeline (Phase 1 → 2 → 3 → 4)
COMPOSE: Suggests using SkillComposer instead
CLARIFY: Pauses for user input before proceeding

Validation & Packaging

Before distribution, validate your skill:

# Quick validation (required for packaging)
python scripts/quick_validate.py ~/.claude/skills/my-skill/

# Full structural validation
python scripts/validate-skill.py ~/.claude/skills/my-skill/

# Package for distribution
python scripts/package_skill.py ~/.claude/skills/my-skill/ ./dist

Frontmatter Requirements

Skills must use only these allowed frontmatter properties:

Property	Required	Description
`name`	Yes	Hyphen-case, max 64 chars
`description`	Yes	Max 1024 chars, no angle brackets
`license`	No	MIT, Apache-2.0, etc.
`allowed-tools`	No	Restrict tool access (comma-separated or YAML list)
`model`	No	Specific Claude model (e.g., `claude-sonnet-4-20250514`)
`context`	No	Set to `fork` for isolated sub-agent context
`agent`	No	Agent type when `context: fork` (`Explore`, `Plan`, `general-purpose`)
`hooks`	No	Lifecycle hooks (`PreToolUse`, `PostToolUse`, `Stop`)
`user-invocable`	No	Show in slash menu (default: `true`)
`metadata`	No	Custom fields (version, author, domains, etc.)

Basic Example:

---
name: my-skill
description: What this skill does and when to use it
license: MIT
model: claude-opus-4-6
user-invocable: true
metadata:
  version: 1.0.0
  author: your-name
---

Advanced Example (with forked context and hooks):

---
name: isolated-analyzer
description: Runs analysis in isolated context with validation hooks
license: MIT
model: claude-opus-4-6
context: fork
agent: Explore
user-invocable: true
allowed-tools:
  - Read
  - Glob
  - Grep
hooks:
  PreToolUse:
    - matcher: "Bash"
      hooks:
        - type: command
          command: "./scripts/validate.sh"
metadata:
  version: 1.0.0
---

Field Details:

Field	Values	Notes
`context`	`fork`	Creates isolated sub-agent with separate conversation history
`agent`	`Explore`, `Plan`, `general-purpose`	Only valid when `context: fork`
`user-invocable`	`true`, `false`	`false` hides from slash menu but Claude can still auto-invoke
`hooks`	Object	See Hooks Integration section

Skill Output Structure

~/.claude/skills/{skill-name}/
├── SKILL.md                    # Main entry point (required)
├── references/                 # Deep documentation (optional)
│   ├── patterns.md
│   └── examples.md
├── assets/                     # Templates (optional)
│   └── templates/
└── scripts/                    # Automation scripts (optional)
    ├── validate.py             # Validation/verification
    ├── generate.py             # Artifact generation
    └── state.py                # State management

Scripts Directory

Scripts enable skills to be agentic - capable of autonomous operation with self-verification.

Category	Purpose	When to Include
Validation	Verify outputs meet standards	Skill produces artifacts
Generation	Create artifacts from templates	Repeatable artifact creation
State Management	Track progress across sessions	Long-running operations
Transformation	Convert/process data	Data processing tasks
Calculation	Compute metrics/scores	Scoring or analysis

Script Requirements:

Python 3.x with standard library only (graceful fallbacks for extras)
Result dataclass pattern for structured returns
Exit codes: 0=success, 1=failure, 10=validation failure, 11=verification failure
Self-verification where applicable
Documented in SKILL.md with usage examples

See: references/script-integration-framework.md

Hooks Integration

Skills can define lifecycle hooks for validation, logging, and safety:

---
name: secure-skill
hooks:
  PreToolUse:
    - matcher: "Bash"
      hooks:
        - type: command
          command: "./scripts/validate-input.sh"
  PostToolUse:
    - matcher: "Write"
      hooks:
        - type: command
          command: "./scripts/log-output.sh"
          once: true
  Stop:
    - hooks:
        - type: command
          command: "./scripts/cleanup.sh"
---

Hook Types:

Hook	When Triggered	Use Case
`PreToolUse`	Before tool execution	Input validation, security checks
`PostToolUse`	After tool execution	Output logging, verification
`Stop`	When skill completes	Cleanup, state persistence

Hook Configuration:

Field	Description
`matcher`	Tool name pattern to match (e.g., "Bash", "Write", "Bash(python:*)")
`type`	Hook type: `command` (shell) or `prompt` (Claude evaluation)
`command`	Shell command to execute (for `type: command`)
`once`	If `true`, run only once per session (default: `false`)

Read $TOOL_INPUT / $TOOL_OUTPUT inside hook scripts from environment variables. Do not interpolate untrusted tool payloads directly into shell command strings.

When to Use Hooks:

Scenario	Hook Type	Example
Validate script inputs	PreToolUse	Check parameters before `python scripts/*.py`
Log generated artifacts	PostToolUse	Record files created by Write tool
Security gate	PreToolUse	Block dangerous bash commands
Cleanup temp files	Stop	Remove intermediate artifacts

Example: Script Validation Hook

For skills with scripts, add input validation:

hooks:
  PreToolUse:
    - matcher: "Bash(python:scripts/*)"
      hooks:
        - type: command
          command: "python scripts/quick_validate.py . 2>/dev/null || true"
          once: true

Anti-Patterns

Avoid	Why	Instead
Duplicate skills	Bloats registry	Check existing first
Single trigger	Hard to discover	3-5 varied phrases
No verification	Can't confirm success	Measurable outcomes
Over-engineering	Complexity without value	Start simple
Missing WHY	Can't evolve	Document rationale
Invalid frontmatter	Can't package	Use allowed properties only

Verification Checklist

After creation:

Frontmatter valid (only allowed properties)
Name is hyphen-case, ≤64 chars
Description ≤1024 chars, no < or >
3-5 trigger phrases defined
Timelessness score ≥ 7
python scripts/quick_validate.py passes
python scripts/check_docs_safety.py passes

Deep Dive: Phase 1 - Analysis

1A: Input Expansion

Transform user's goal into comprehensive requirements:

USER INPUT: "Create a skill for X"
                │
                ▼
┌─────────────────────────────────────────────────────────┐
│ EXPLICIT REQUIREMENTS                                    │
│ • What the user literally asked for                      │
│ • Direct functionality stated                            │
├─────────────────────────────────────────────────────────┤
│ IMPLICIT REQUIREMENTS                                    │
│ • What they probably expect but didn't say               │
│ • Standard quality expectations                          │
│ • Integration with existing patterns                     │
├─────────────────────────────────────────────────────────┤
│ UNKNOWN UNKNOWNS                                         │
│ • What they don't know they need                         │
│ • Expert-level considerations they'd miss                │
│ • Future needs they haven't anticipated                  │
├─────────────────────────────────────────────────────────┤
│ DOMAIN CONTEXT                                           │
│ • Related skills that exist                              │
│ • Patterns from similar skills                           │
│ • Lessons from skill failures                            │
└─────────────────────────────────────────────────────────┘

Check for overlap with existing skills:

ls ~/.claude/skills/
# Grep for similar triggers in existing SKILL.md files

Match Score	Action
>7/10	Use existing skill instead
5-7/10	Clarify distinction before proceeding
<5/10	Proceed with new skill

1B: Multi-Lens Analysis

Apply all 11 thinking models systematically:

Lens	Core Question	Application
First Principles	What's fundamentally needed?	Strip convention, find core
Inversion	What guarantees failure?	Build anti-patterns
Second-Order	What happens after the obvious?	Map downstream effects
Pre-Mortem	Why did this fail?	Proactive risk mitigation
Systems Thinking	How do parts interact?	Integration mapping
Devil's Advocate	Strongest counter-argument?	Challenge every decision
Constraints	What's truly fixed?	Separate real from assumed
Pareto	Which 20% delivers 80%?	Focus on high-value features
Root Cause	Why is this needed? (5 Whys)	Address cause not symptom
Comparative	How do options compare?	Weighted decision matrix
Opportunity Cost	What are we giving up?	Explicit trade-offs

Minimum requirement: All 11 lenses scanned, at least 5 applied in depth.

See: references/multi-lens-framework.md

1C: Regression Questioning

Iterative self-questioning until no new insights emerge:

ROUND N:
│
├── "What am I missing?"
├── "What would an expert in {domain} add?"
├── "What would make this fail?"
├── "What will this look like in 2 years?"
├── "What's the weakest part of this design?"
└── "Which thinking model haven't I applied?"
    │
    └── New insights > 0?
        │
        ├── YES → Incorporate and loop
        └── NO → Check termination criteria

Termination Criteria:

Three consecutive rounds produce no new insights
All 11 thinking models have been applied
At least 3 simulated expert perspectives considered
Evolution/timelessness explicitly evaluated
Automation opportunities identified

See: references/regression-questions.md

1D: Automation Analysis

Identify opportunities for scripts that enable agentic operation:

FOR EACH operation in the skill:
│
├── Is this operation repeatable?
│   └── YES → Consider generation script
│
├── Does this produce verifiable output?
│   └── YES → Consider validation script
│
├── Does this need state across sessions?
│   └── YES → Consider state management script
│
├── Does this involve external tools?
│   └── YES → Consider integration script
│
└── Can Claude verify success autonomously?
    └── NO → Add self-verification script

Automation Lens Questions:

Question	Script Category if YES
What operations will be repeated identically?	Generation
What outputs require validation?	Validation
What state needs to persist?	State Management
Can the skill run overnight autonomously?	All categories
How will Claude verify correct execution?	Verification

Decision: Script vs No Script

Create Script When	Skip Script When
Operation is deterministic	Requires human judgment
Output can be validated	One-time setup
Will be reused across invocations	Simple text output
Enables autonomous operation	No verification needed
External tool integration	Pure Claude reasoning

See: references/script-integration-framework.md

Deep Dive: Phase 2 - Specification

Specification Structure

The specification captures all analysis insights in XML format:

<skill_specification>
  <metadata>
    <name>skill-name</name>
    <analysis_iterations>N</analysis_iterations>
    <timelessness_score>X/10</timelessness_score>
  </metadata>

  <context>
    <problem_statement>What + Why + Who</problem_statement>
    <existing_landscape>Related skills, distinctiveness</existing_landscape>
  </context>

  <requirements>
    <explicit>What user asked for</explicit>
    <implicit>Expected but unstated</implicit>
    <discovered>Found through analysis</discovered>
  </requirements>

  <architecture>
    <pattern>Selected pattern with WHY</pattern>
    <phases>Ordered phases with verification</phases>
    <decision_points>Branches and defaults</decision_points>
  </architecture>

  <scripts>
    <decision_summary>needs_scripts + rationale</decision_summary>
    <script_inventory>name, category, purpose, patterns</script_inventory>
    <agentic_capabilities>autonomous, self-verify, recovery</agentic_capabilities>
  </scripts>

  <evolution_analysis>
    <timelessness_score>X/10</timelessness_score>
    <extension_points>Where skill can grow</extension_points>
    <obsolescence_triggers>What would break it</obsolescence_triggers>
  </evolution_analysis>

  <anti_patterns>
    <pattern>What to avoid + WHY + alternative</pattern>
  </anti_patterns>

  <success_criteria>
    <criterion>Measurable + verification method</criterion>
  </success_criteria>
</skill_specification>

See: references/specification-template.md

Specification Validation

Before proceeding to Phase 3:

All sections present with no placeholders
Every decision includes WHY
Timelessness score ≥ 7 with justification
At least 2 extension points documented
All requirements traceable to source
Scripts section complete (if applicable)
Agentic capabilities documented (if scripts present)

Deep Dive: Phase 3 - Generation

Context: Fresh, clean (no analysis artifacts polluting) Standard: Zero errors—every section verified before proceeding

Generation Order

1. Create directory structure
   mkdir -p ~/.claude/skills/{skill-name}/references
   mkdir -p ~/.claude/skills/{skill-name}/assets/templates
   mkdir -p ~/.claude/skills/{skill-name}/scripts  # if scripts needed

2. Write SKILL.md
   • Frontmatter (YAML - allowed properties only)
   • Title and brief intro
   • Quick Start section
   • Triggers (3-5 varied phrases)
   • Quick Reference table
   • How It Works overview
   • Commands
   • Scripts section (if applicable)
   • Validation section
   • Anti-Patterns
   • Verification criteria
   • Deep Dive sections (in <details> tags)

3. Generate reference documents (if needed)
   • Deep documentation for complex topics
   • Templates for generated artifacts
   • Checklists for validation

4. Create assets (if needed)
   • Templates for skill outputs

5. Create scripts (if needed)
   • Use script-template.py as base
   • Include Result dataclass pattern
   • Add self-verification
   • Document exit codes
   • Test before finalizing

Quality Checks During Generation

Check	Requirement
Frontmatter	Only allowed properties (name, description, license, allowed-tools, metadata)
Name	Hyphen-case, ≤64 chars
Description	≤1024 chars, no angle brackets
Triggers	3-5 distinct, natural language
Phases	1-3 max, not over-engineered
Verification	Concrete, measurable
Tables over prose	Structured information in tables
No placeholder text	Every section fully written
Scripts (if present)	Shebang, docstring, argparse, exit codes, Result pattern
Script docs	Scripts section in SKILL.md with usage examples

Deep Dive: Phase 4 - Multi-Agent Synthesis

Panel: 3-4 Opus agents with distinct evaluative lenses Requirement: Unanimous approval (all agents) Fallback: Return to Phase 1 with feedback (max 5 iterations)

Panel Composition

Agent	Focus	Key Criteria	When Active
Design/Architecture	Structure, patterns, correctness	Pattern appropriate, phases logical, no circular deps	Always
Audience/Usability	Clarity, discoverability, completeness	Triggers natural, steps unambiguous, no assumed knowledge	Always
Evolution/Timelessness	Future-proofing, extension, ecosystem	Score ≥7, extension points clear, ecosystem fit	Always
Script/Automation	Agentic capability, verification, quality	Scripts follow patterns, self-verify, documented	When scripts present

Script Agent (Conditional)

The Script Agent is activated when the skill includes a scripts/ directory. Focus areas:

Criterion	Checks
Pattern Compliance	Result dataclass, argparse, exit codes
Self-Verification	Scripts can verify their own output
Error Handling	Graceful failures, actionable messages
Documentation	Usage examples in SKILL.md
Agentic Capability	Scripts complete cleanly without interactive prompts during scoped, user-approved invocations

Script Agent Scoring:

Score	Meaning
8-10	Fully agentic, self-verifying, production-ready
6-7	Functional but missing some agentic capabilities
<6	Requires revision - insufficient automation quality

Agent Evaluation

Each agent produces:

## [Agent] Review

### Verdict: APPROVED / CHANGES_REQUIRED

### Scores
| Criterion | Score (1-10) | Notes |
|-----------|--------------|-------|

### Strengths
1. [Specific with evidence]

### Issues (if CHANGES_REQUIRED)
| Issue | Severity | Required Change |
|-------|----------|-----------------|

### Recommendations
1. [Even if approved]

Consensus Protocol

IF all agents APPROVED (3/3 or 4/4):
    → Finalize skill
    → Run validate-skill.py
    → Update registry
    → Complete

ELSE:
    → Collect all issues (including script issues)
    → Return to Phase 1 with issues as input
    → Re-apply targeted questioning
    → Regenerate skill and scripts
    → Re-submit to panel

IF 5 iterations without consensus:
    → Flag for human review
    → Present all agent perspectives
    → User makes final decision

See: references/synthesis-protocol.md

Deep Dive: Evolution/Timelessness

Every skill is evaluated through the evolution lens:

Temporal Projection

Timeframe	Key Question
6 months	How will usage patterns evolve?
1 year	What ecosystem changes are likely?
2 years	What new capabilities might obsolete this?
5 years	Is the core problem still relevant?

Timelessness Scoring

Score	Description	Verdict
1-3	Transient, will be obsolete in months	Reject
4-6	Moderate, depends on current tooling	Revise
7-8	Solid, principle-based, extensible	Approve
9-10	Timeless, addresses fundamental problem	Exemplary

Requirement: All skills must score ≥7.

Anti-Obsolescence Patterns

Do	Don't
Design around principles	Hardcode implementations
Document the WHY	Only document the WHAT
Include extension points	Create closed systems
Abstract volatile dependencies	Direct coupling
Version-agnostic patterns	Pin specific versions

See: references/evolution-scoring.md

Architecture Pattern Selection

Select based on task complexity:

Pattern	Use When	Structure
Single-Phase	Simple linear tasks	Steps 1-2-3
Checklist	Quality/compliance audits	☐ Item verification
Generator	Creating artifacts	Input → Transform → Output
Multi-Phase	Complex ordered workflows	Phase 1 → Phase 2 → Phase 3
Multi-Agent Parallel	Independent subtasks	Launch agents concurrently
Multi-Agent Sequential	Dependent subtasks	Agent 1 → Agent 2 → Agent 3
Orchestrator	Coordinating multiple skills	Meta-skill chains

Selection Decision Tree

Is it a simple procedure?
├── Yes → Single-Phase
└── No → Does it produce artifacts?
    ├── Yes → Generator
    └── No → Does it verify/audit?
        ├── Yes → Checklist
        └── No → Are subtasks independent?
            ├── Yes → Multi-Agent Parallel
            └── No → Multi-Agent Sequential or Multi-Phase

Configuration

SKILLCREATOR_CONFIG:
  mode: autonomous
  depth: maximum  # always
  core_lens: evolution_timelessness

  analysis:
    min_lens_depth: 5
    max_questioning_rounds: 7
    termination_empty_rounds: 3

  synthesis:
    panel_size: 3
    require_unanimous: true
    max_iterations: 5
    escalate_to_human: true

  evolution:
    min_timelessness_score: 7
    min_extension_points: 2
    require_temporal_projection: true

  model:
    primary: claude-opus-4-6
    subagents: claude-opus-4-6

References

Regression Questions - Complete question bank (7 categories)
Multi-Lens Framework - 11 thinking models guide
Specification Template - XML spec structure
Evolution Scoring - Timelessness evaluation
Synthesis Protocol - Multi-agent panel details
Script Integration Framework - When and how to create scripts
Script Patterns Catalog - Standard Python patterns

Related Skills

Skill	Relationship
skill-composer	Can orchestrate created skills
claude-authoring-guide	Deeper patterns reference
codereview	Pattern for multi-agent panels
maker-framework	Zero error standard source

Extension Points

Additional Lenses: Add new thinking models to references/multi-lens-framework.md
New Synthesis Agents: Extend panel beyond 4 agents for specific domains
Custom Patterns: Add architecture patterns to selection guide
Domain Templates: Add domain-specific templates to assets/templates/
Script Patterns: Add new patterns to references/script-patterns-catalog.md
Script Categories: Extend the 7 script categories for new use cases

Changelog

v4.1.0 (Current)

Extended frontmatter support - Full support for model, context, agent, hooks, user-invocable
Created scripts/_constants.py for shared validation constants
Updated scripts/quick_validate.py with extended property validation
Updated scripts/validate-skill.py with hooks and agent validation
Fixed scripts/discover_skills.py to extract version from metadata.version
Added Hooks Integration section to SKILL.md and script-integration-framework.md
Added Forked Context documentation to synthesis-protocol.md
Updated skill template with modern best practices
Expanded frontmatter requirements table with 10 properties

v4.0.0

Phase 0 Skill Triage - Intelligent routing before creation
Universal input handling - any prompt works
Skill ecosystem scanning with 250+ skills indexed
Decision matrix: USE | IMPROVE | CREATE | COMPOSE
Renamed from SkillCreator to SkillForge

v3.2.0

Added Script Integration Framework for agentic skills
Added 4th Script Agent to synthesis panel (conditional)
Added Phase 1D: Automation Analysis
Added Automation Lens questions to regression questioning
Created references/script-integration-framework.md
Created references/script-patterns-catalog.md
Created assets/templates/script-template.py
Updated skill-spec-template.xml with <scripts> section
Updated validate-skill.py with script validation
Skills can now include self-verifying Python scripts

v3.1.0

Added progressive disclosure structure
Fixed frontmatter for packaging compatibility
Added validation & packaging section
Deep dive sections now collapsible

v3.0.0

Complete redesign as ultimate meta-skill
Added regression questioning loop
Added multi-lens analysis framework (11 models)
Added evolution/timelessness core lens
Added multi-agent synthesis panel

v2.0.0

Pattern selection guide
Quality standards checklist

v1.0.0

Basic skill structure

skillforge

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Invocation

Configuration

Tool Access

Context Preview

SKILL.md

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skillforge

Popularity

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SKILL.md

SkillForge 4.1 - Intelligent Skill Router & Creator

Quick Start

Triggers

Creation Triggers

Routing Triggers (NEW in v4.0)

Process Overview

Tool Escalation Policy

Commands

Phase 0: Skill Triage (NEW in v4.0)

How It Works

Decision Actions

Triage Script

Ecosystem Index

Integration with Phases 1-4

Validation & Packaging

Frontmatter Requirements

Skill Output Structure

Scripts Directory

Hooks Integration

Anti-Patterns

Verification Checklist

1A: Input Expansion

1B: Multi-Lens Analysis

1C: Regression Questioning

1D: Automation Analysis

Specification Structure

Specification Validation

Generation Order

Quality Checks During Generation

Panel Composition

Script Agent (Conditional)

Agent Evaluation

Consensus Protocol

Temporal Projection

Timelessness Scoring

Anti-Obsolescence Patterns

Selection Decision Tree

References

Related Skills

Extension Points

Changelog

v4.1.0 (Current)

v4.0.0

v3.2.0

v3.1.0

v3.0.0

v2.0.0

v1.0.0

Similar Skills

Help us improve

SkillForge 4.1 - Intelligent Skill Router & Creator

Quick Start

Triggers

Creation Triggers

Routing Triggers (NEW in v4.0)

Process Overview

Tool Escalation Policy

Commands

Phase 0: Skill Triage (NEW in v4.0)

How It Works

Decision Actions

Triage Script