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jmanhype AI Skills

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Browse published AI skills maintained by jmanhype. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

7

Repository stars across indexed skills

94

Repository forks

8

Average repository stars per indexed skill

13

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

generate-appworld-code

jmanhype

Generate Python code to solve AppWorld agent tasks using playbook bullet guidance. Use when the AppWorld executor needs executable Python code for tasks involving Spotify, Venmo, Gmail, Calendar, Contacts, or o...

GitHub

curate-delta

jmanhype

Synthesize Reflector insights into structured delta proposals for playbook updates, following ACE paper's Curator architecture

GitHub

reflect-appworld-failure

jmanhype

Analyze AppWorld task failures to extract specific API patterns and generate actionable playbook bullets with concrete code examples

GitHub

spec-kit-workflow

jmanhype

Guides specification-driven development workflow. Automatically invoked when discussing new features, specifications, technical planning, or implementation tasks. Ensures proper workflow phases (specify → clari...

GitHub

beads-integration

jmanhype

Manages persistent task memory using Beads. Automatically invoked when discussing task tracking, long-running projects, session persistence, or context preservation across sessions. Handles syncing between task...

GitHub

spec-validation

jmanhype

Validates specification quality for technology-agnosticism, testability, and completeness. Automatically invoked when reviewing specs, checking requirements, or before transitioning from specify to plan phase.

GitHub

project-standards

jmanhype

Provides project coding standards and architectural principles on-demand. Automatically invoked when implementing features, writing code, or making technical decisions. Reads constitution.md to ensure all code...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.