GitHub user
Agent skills by techygarg
- skills
- 33
- repository
- 1
Repositories by techygarg
Skills by techygarg, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Architectural thinking partner for an existing repository — scans the codebase, conducts a structured interview, agrees on current architectural state and recommended direction, and produces a… | techygarg/ | 198 | — | ~4.4k | Automated safety check: Pass | MIT | yesterday |
| 2 | Guided setup and upgrade-check experience for Lattice projects -- scans the repository, detects existing configuration and outdated conventions, suggests refiners and available upgrades in priority… | techygarg/ | 198 | — | ~3.3k | Automated safety check: Pass | MIT | yesterday |
| 3 | Audit and fix all Lattice documentation, README, docs/, PROJECT.md, GitHub issue templates, and CLAUDE.md to ensure they are fully aligned with the current skill inventory. | techygarg/ | 198 | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 4 | Validate any Lattice SKILL.md against all tier conventions — atoms, molecules, and refiners. | techygarg/ | 198 | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 5 | Facilitate a structured conversation to define architecture principles for a repository. | techygarg/ | 198 | — | ~3.7k | Automated safety check: Pass | MIT | yesterday |
| 6 | Facilitate a structured conversation to define clean code principles for a repository. | techygarg/ | 198 | — | ~3k | Automated safety check: Pass | MIT | yesterday |
| 7 | Manage per-feature living documents that capture decisions, constraints, and reasoning across AI sessions during active development. | techygarg/ | 198 | — | ~2.9k | Automated safety check: Pass | MIT | yesterday |
| 8 | Facilitate a structured conversation to define DDD guardrails for domain design within a repository. | techygarg/ | 198 | — | ~3k | Automated safety check: Pass | MIT | yesterday |
| 9 | Facilitate a structured conversation to define requirement standards for a project — epic and feature definitions, scenario structure, AC format, priority notation, status workflow, and naming… | techygarg/ | 198 | — | ~2.9k | Automated safety check: Pass | MIT | yesterday |
| 10 | Facilitate a structured conversation to customize how the review molecule works -- atom loading rules, severity classification, report format, scope rules, insight capture, and health logging. | techygarg/ | 198 | — | ~3.2k | Automated safety check: Pass | MIT | yesterday |
| 11 | Manage the operational learnings lifecycle — load prior learnings to inform current work, harvest new patterns worth preserving, and keep the document tight over time. | techygarg/ | 198 | — | ~2.4k | Automated safety check: Pass | MIT | yesterday |
| 12 | Update existing Lattice standards after a significant change — the update-mode counterpart to lattice-init. | techygarg/ | 198 | — | ~2.2k | Automated safety check: Pass | MIT | yesterday |
| 13 | 13.Review Perform a structured code review by composing validation checklists from relevant atoms based on what code changed. | techygarg/ | 198 | — | ~3.2k | Automated safety check: Pass | MIT | yesterday |
| 14 | Full enhancement pipeline for an existing Lattice skill — rewrites a molecule or atom to modern-capable-model grade: restores degraded grammar, deduplicates, hardens gates and branching to… | techygarg/ | 198 | — | ~1.8k | Automated safety check: Pass | MIT | yesterday |
| 15 | 15.Skill Forge Create a new Lattice skill — atom, molecule, or refiner — following all framework conventions. | techygarg/ | 198 | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 16 | 16.Skill Review Deep behavioral audit of a Lattice skill — proposes 3 review personas relevant to the skill, runs independent scenario analysis from each persona's perspective, then merges only the high-confidence… | techygarg/ | 198 | — | ~2.9k | Automated safety check: Pass | MIT | yesterday |
| 17 | Audit any Lattice SKILL.md for language compliance — removes rationale prose, converts soft language to imperatives, adds STOP: gates on hard rules, and cuts redundant repetition. | techygarg/ | 198 | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 18 | 18.Architecture Enforce architectural rules when generating or modifying code, and validate proposed designs before approval (design mode). | techygarg/ | 198 | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 19 | 19.Clean Code Apply clean code principles when generating or modifying implementation code. | techygarg/ | 198 | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 20 | 20.Design First Guide structured design thinking through 5 progressive levels before any code is written. | techygarg/ | 198 | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 21 | Apply DDD tactical patterns when working with domain code, and validate proposed domain models before approval (design mode). | techygarg/ | 198 | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 22 | Generate structured feature specifications through a collaborative product interview. | techygarg/ | 198 | — | ~3.5k | Automated safety check: Pass | MIT | yesterday |
| 23 | Apply requirement quality principles when generating or validating feature specifications. | techygarg/ | 198 | — | ~2.2k | Automated safety check: Pass | MIT | yesterday |
| 24 | Apply security-conscious thinking when generating or modifying code. | techygarg/ | 198 | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 25 | 25.Test Quality Apply test quality principles when generating or reviewing test code. | techygarg/ | 198 | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 26 | Facilitate a structured conversation to create a project-specific knowledge base document. | techygarg/ | 198 | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 27 | Facilitate a structured conversation to define language-specific idioms and patterns for a repository. | techygarg/ | 198 | — | ~4.1k | Automated safety check: Pass | MIT | yesterday |
| 28 | 28.Bug Fix Investigate, reproduce, and safely fix a bug with regression protection. | techygarg/ | 198 | — | ~3k | Automated safety check: Pass | MIT | yesterday |
| 29 | 29.Code Forge Generate implementation code from an approved design blueprint or verbal requirements. | techygarg/ | 198 | — | ~3.1k | Automated safety check: Pass | MIT | yesterday |
| 30 | Protocol for handling ambiguous decisions and missing/conflicting knowledge during code generation, design, and review. | techygarg/ | 198 | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 31 | Run a complete design workflow -- from establishing context through four progressive design levels (Capabilities, Components, Interactions, Contracts) to an approved blueprint. | techygarg/ | 198 | — | ~3.1k | Automated safety check: Pass | MIT | yesterday |
| 32 | Load project-specific context -- tech stack, architecture overview, directory layout, trusted sources, and conventions -- so that all skills operate with awareness of what this project actually is. | techygarg/ | 198 | — | ~682 | Automated safety check: Pass | MIT | yesterday |
| 33 | Restructure existing code safely without changing externally observable behavior. | techygarg/ | 198 | — | ~3.3k | Automated safety check: Pass | MIT | yesterday |
Questions, answered from the data.
What is the best skill by techygarg?
Architecture Compass from techygarg/lattice ranks first of the 33 skills by techygarg listed here, with the highest score: its repository has 198 GitHub stars, its SKILL.md loads about 4.4k tokens and it passes the automated safety check with no findings. Next come Lattice Init and Skill Align.
Are techygarg's skills official?
None yet. All 33 skills by techygarg listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.