Claude Skills Development

Custom Claude Skills. built for your specific workflow

A Claude Skill is a modular, reusable agent capability: a structured system prompt plus workflow logic that gives Claude a specific, repeatable function. Our agency runs on 67 custom Skills. They handle everything from SEO keyword research to content validation to schema markup generation. We build them for clients with the same depth and specificity we use internally.

Build Your Skill Library

Explore Claude Services

Skills in our production library

15+

Clients with custom Skills

Quality dimensions per Skill

<250

Lines per Skill (V2 standard)

What We Build

Six skill types that cover most business workflows.

Research Skills

Skills that gather, analyze, and structure information from defined sources. Competitor research, market analysis, customer persona development, product positioning review. Each Skill knows exactly what sources to check, what format to produce, and what quality threshold to meet.

Source-grounded research output
Structured data extraction
Competitive analysis patterns
Citation and attribution built in

Writing Skills

Brand-specific content generation Skills with voice, tone, format, and vocabulary locked in. Blog posts, email sequences, ad copy, landing pages, product descriptions. The output reads like your brand wrote it, not like a generic AI model was prompted once.

Brand voice encoding in system prompt
Format-specific output rules
Vocabulary control (allowed and forbidden)
Length and structure enforcement

Validation Skills

Skills that review output from other Skills against defined quality dimensions. Anti-AI content detection, brand voice compliance, factual accuracy checking, SEO element validation. Our internal validate_content.py system scores across 8 dimensions. We build equivalent systems for your content operations.

Multi-dimension quality scoring
Pass/Revise/Reject verdict logic
Brand compliance checking
Automated feedback generation

Optimization Skills

Skills that take existing content or code and improve specific dimensions without changing the whole: SEO optimization, readability improvements, CTA testing, conversion copy refinement, code refactoring with defined constraints.

Single-dimension optimization focus
Before/after diff output
Constraint-respecting edits
Measurable improvement targets

Workflow Orchestration Skills

Skills that manage multi-step processes: intake a brief, call a Research Skill, pass output to a Writing Skill, route to a Validation Skill, format for delivery. These are the Skills that turn a single-agent capability into a production content or operations pipeline.

Multi-Skill orchestration logic
Conditional routing patterns
Error handling and fallback behavior
State passing between Skill calls

Schema & Structured Output Skills

Skills that generate structured data outputs: JSON-LD schema markup, API payloads, database record drafts, structured content for headless CMS systems. Output is always validated against the target schema before delivery.

JSON-LD schema generation
CMS-specific content structure
API payload formatting
Schema validation and error catching

How We Build Skills

Four stages from workflow to production library.

Step 01

Workflow mapping and Skill scoping

We interview your team to understand the specific tasks that happen most often, that take the most time, or that produce the most inconsistent results. From that list we identify the 10-20 workflows that are best candidates for Skills. clear scope, repeatable structure, measurable output quality.

Step 02

Skill architecture and persona design

For each Skill we design the system prompt structure: persona, purpose, workflow steps, decision trees, output format, and validation thresholds. This architecture document is reviewed and approved before we write a single line of the Skill itself.

Step 03

Build, test, and evaluate

We write each Skill, run it against 20-50 real examples from your workflow, score the output against the validation thresholds, and iterate until the pass rate exceeds our quality bar. You see the eval results for every Skill before it goes into your library.

Step 04

Integration and documentation

Skills are delivered in your chosen format: SKILL.md files in a repo, integrated into Claude Code CLI, or callable via the Agent SDK. Every Skill comes with usage documentation and an example gallery showing the expected inputs and outputs.

Built in Production

How a 67-Skill library powers 15 client SEO engagements.

The Challenge

Fifteen clients, five industries, six team members. Every client has a different brand voice, different keyword strategy, different content format requirements. Without a Skill-based system, every task requires re-explaining context, re-establishing voice, and re-checking quality manually. The inconsistency compounds over hundreds of monthly tasks.

Our Solution

We built 67 Skills covering every function in our SEO workflows: industry-specific researchers (travel, SaaS, B2B, e-commerce), per-client writers with brand voice encoded, multi-dimension validators, schema generators, and pipeline orchestration Skills. Each Skill follows our V2 XML standard: under 250 lines, structured XML tags, MCP references where live data is needed, executable scripts for data tasks. The library runs every client engagement with consistent quality.

Results Achieved

Total Skills deployed

V2 XML standard, all in production

Functions covered

Research, write, validate, generate schema, and more

Validation dimensions

Per Skill. Pass/Revise/Reject verdicts

15+

Clients served by the system

Across 5 industries

Understanding Claude Skills

What a Skill actually is. and why the pattern matters.

The difference between a well-built Skill and a saved ChatGPT prompt is the difference between a reliable function and a fragile string.

Structured system prompt

Persona definition (who Claude is for this task)
Purpose and scope boundaries
Voice and writing rules
Decision trees for edge cases
Output format specification

Validation thresholds

Scoring dimensions and weights
Pass/Revise/Reject verdict criteria
Override conditions
Automated quality check hooks
Human review escalation triggers

Reference architecture

SKILL.md under 250 lines
On-demand reference files for depth
Executable scripts for data tasks
MCP tool calls for live data
Token-efficient context loading

Version control

Skills live in your repo, not a dashboard
Git history tracks every change
Rollback to any previous version
Team review before Skill updates go live
Eval runs on every version change

FAQ

Claude Skills development frequently asked questions

A Claude Skill is a structured system prompt plus associated workflow logic that gives Claude a specific, repeatable capability. At minimum it is a SKILL.md file with defined persona, purpose, workflow steps, output format, and validation thresholds. In our V2 standard, Skills use XML tags for structured sections, stay under 250 lines (with on-demand reference files for depth), and include scoring criteria that define Pass/Revise/Reject verdicts.

A prompt is written for a single use. A Skill is engineered for repeated use across different inputs, different team members, and evolving requirements. Skills include edge case handling, validation thresholds, version control, and documentation. A good prompt helps one person do one task. A good Skill handles a workflow reliably for an entire team.

Most teams see the highest value from 10-30 core Skills covering their 10-15 most frequent, most time-consuming workflows. We recommend starting with a focused library of 10-15 Skills with deep quality investment rather than 50 shallow Skills. Once the core library proves its value, expansion is fast because the architecture patterns are established.

We build Skills to work in whichever environment your team uses. For Claude Code CLI users, Skills are SKILL.md files that Claude reads at session start. For Agent SDK applications, Skills are structured system prompts integrated into agent configurations. For both, Skills can reference MCP tools for live data and executable scripts for data-heavy tasks.

Brand voice is encoded directly in the Skill's system prompt through four mechanisms: vocabulary lists (words to use and words to avoid), sentence rhythm rules (short sentence frequency, punctuation patterns), format rules (heading style, list use, call-to-action patterns), and example galleries (5-10 annotated examples of on-brand output). We validate the encoding by scoring Skill output against your existing approved content.

You own them fully. Skills are delivered as files in your repo. You can modify, extend, or deprecate them without us. We encourage this. Skills should evolve with your workflows. If you want ongoing Skill development and iteration, that is available as a retainer.

Ready to Build Your Skill Library?

Tell us your highest-friction workflows.

We map your workflows, design the Skill architecture, build against real examples, and deliver a documented library your team owns and operates.

Workflow mapping session included
Eval results for every Skill before delivery
Full ownership. files in your repo