Find agent skills by outcome

Domain Focus: Primarily software development

system architecture

Generate a comprehensive

**platform-agnostic Universal Context Document (UCD)** that captures the complete conversational history

zipf.write(file_path

arcname)

skill_content = SKILL_TEMPLATE.format(skill_name=skill_name

skill_title=skill_title)

return False

fName '{name}' cannot start/end with hyphen or contain consecutive hyphens

match = re.match(r'^---\n(.*?)\n---'

content

2. Plan reusable skill contents (scripts

references

Coding & Debugging

- Use cases: Database schemas

API documentation

The context window is a public good. Skills share the context window with everything else Claude needs: system prompt

conversation history

Coding & Debugging

Medium freedom (pseudocode or scripts with parameters): Use when a preferred pattern exists

some variation is acceptable

environmental_storytelling: The dark

textured

use_case: Concept art for a science-fiction or fantasy film

book cover illustration

environmental_storytelling: The juxtaposition of the giant figure holding a miniature world suggests themes of creation

control

description_short: A surreal digital artwork depicting a giant young woman holding a complex

multi-level cross-section of a vibrant

prompt: A dreamy

artistic photograph of a young woman with brown

use_case: Artistic stock photography

editorial fashion

environmental_storytelling: The ethereal

swirling floral background suggests a dreamscape or a memory

Dreamy Artistic Photograph of a Young Woman in a Meadow

{

feedback = extract_xml_content(response

feedback)

summary = extract_xml_content(response

summary)

response_value = extract_xml_content(response

response)

messages.append({role: assistant

content: response.content})

(block.text for block in response.content if hasattr(block

text))

messages.append({role: assistant

content: response.content})