lynxlangya/techne

Forcing-function skills for AI agents — validated to improve behavior, not just change it.

105Stars on the repository
9Mods indexed here, across every type
2mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

_template

01

lynxlangya/techne

Skill Claude CodeCodex

Internal authoring template and manual canary. Copy this directory to start a new techne skill.

105 2mo ago A 22 tokens original MIT

anchor-intake

02

lynxlangya/techne

Skill Claude CodeCodex

Interrogate a written engineering implementation brief before work starts. Use when a user brings a ticket, PRD, design note, or substantive engineering task brief and wants to begin implementation planning; force every fixed rubric element to be accounted, cite present/weak claims against the brief, surface gaps…

105 2mo ago A 105 tokens original MIT

anchor-repro

03

lynxlangya/techne

Skill Claude CodeCodex

Reproduce a behavioral bug before fixing it, record the failing probe, and verify the fix with the same probe. Use for bug reports, failing tests, crashes, hangs, regressions, wrong output, and observable behavior that should change.

105 2mo ago A 52 tokens original MIT

anchor-vet

04

lynxlangya/techne

Skill Claude CodeCodex

Evidence-gated diff review for PRs, branches, commit ranges, staged code changes, and merge readiness checks. Use when an AI reviewer must review a concrete git-anchored diff, judge whether code is safe to merge, inspect a PR URL or branch, cross-examine PR or commit claims, account blast radius, or render…

105 2mo ago A 107 tokens original MIT

anchor-viz

05

lynxlangya/techne

Skill Claude CodeCodex

Draw a faithful architecture or structure diagram of a real codebase or project by scanning the actual repo, never guessing. Use for system architecture, request lifecycle, data model, state transitions, type structure, draw the architecture, map this project, 画架构图.

105 2mo ago A 58 tokens original MIT