Synced skill library for reusable task recipes.
Source: droxey/nebula-recipes/tasks/perceptis-manual-import-connector
Sample prompt:
Use the perceptis-manual-import-connector skill to validate a Perceptis export, normalize the rows, and produce preview, duplicates, exceptions, and summary outputs without modifying the source data.
Source: droxey/nebula-recipes/tasks/perceptyx-read-only-export-validation-and-scaffold
Sample prompt:
Use the perceptyx-read-only-export-validation-and-scaffold skill to review a Perceptyx export workflow, keep the process read-only, and scaffold the connector files needed for validation and normalization.
Source: droxey/nebula-recipes/tasks/intake-implementation-workflow
Sample prompt:
Use the intake-implementation-workflow skill to turn an intake request into a planning package with a spec, implementation plan, build plan, and implementation checklist.
Source: musexmachine/mcp
Sample prompt:
Use the musexmachine-mcp-codex-env skill to create and validate a Codex-ready environment for musexmachine/mcp.
Source: hacker-news-comment (workflow pattern)
Sample prompt:
Use the code skill to execute a refactor with plan iteration, spec-first thinking, tests-first implementation, manual verification, review, mutation testing, and docs updates.
Source: reasoning-router/
Sample prompt:
Use the reasoning-router skill before beginning the task to select the lowest sufficient available reasoning mode.
Source: product-reverse-engineering/
Sample prompt:
Use $product-reverse-engineering to route this product analysis or rebuilding request to the correct specialist with the required safety gates and reviewed handoffs.
Every first-party skill declares a maturity level in its SKILL.md frontmatter and carries the required Purpose, Inputs, Outputs, Example, Success criteria, and Maturity sections. Levels: 0 Intent, 1 Determinism (script/structured asset), 2 Stability (unit tests), 3 Safety and Scale (agents/ interface or safety section). See docs/skill-maturity-standard.md.
Validate and harden the library:
python3 tools/validate_skills.py # strict check of a skill directory's frontmatter + sections
python3 tools/harden_skills.py # batch-add maturity + required sections to live first-party skills
python3 tools/finalize_skills.py # harden the essence meta-skills and sweep-validate all skills
python3 -m unittest tools.test_validate_skillsUse this repository as a library of reusable skills. Read the relevant
SKILL.md before starting, follow its instructions, and keep the task scoped
to the user's request. If no skill clearly applies, proceed without one.
- Make this repository available to your harness by cloning it or adding it as a skills directory.
- For each task, select the closest skill below and provide its
SKILL.mdto the agent as context. - Ask the agent to follow the skill, inspect the repository, and report validation results.
- ah-devops-engineer
- ai-writing-detection
- chrome-mcp-web-fallback
- code
- code-review
- codespace-operator-v2
- dani-roxberrys-teaching-voice
- essence
- essence-commit
- essence-doc
- essence-pr
- fleet-audit-patterns
- go-defensive
- humanize
- improve
- intake-implementation-workflow
- ios-rendering-protocol
- linkedin-lead-gen-outreach
- markdown-mode-router
- meeting-to-action
- mobile-forensics
- model-cost-estimator
- nextjs-nebula-miniapp
- owasp-top-10
- product-clone-research
- product-reverse-engineering
- prompt-technique-router
- qmd
- repo-settings-bootstrap
- resume-ats-pdf-optimizer
- senior-devops
- skill-router-v2
- tdd-workflows-tdd-cycle
- teaching-lesson-plan
- web-scraper