dkstm95/hope

Hope helps people work with AI while staying able to see, understand, and control the work.

8Stars on the repository
10Mods indexed here, across every type
2d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

align

01

dkstm95/hope

Skill Claude CodeCodex

Interview the person before implementation when requirements, scope, expected behavior, design, or an important assumption needs shared agreement.

8 2d ago A 25 tokens original MIT

diagram

02

dkstm95/hope

Skill Claude CodeCodex

Create, refine, or review an explanatory diagram or data chart when spatial relationships or quantitative shape make the meaning materially clearer. Use within another task without replacing its workflow or artifact; do not use for decorative illustration, simple lists or tables, or UI screen design.

8 2d ago A 54 tokens original MIT

diff

03

dkstm95/hope

Skill Claude CodeCodex

Use when someone asks to explain or review a GitHub pull request as an evidence-linked, self-contained offline HTML review.

8 2d ago A 26 tokens original MIT

sweep

04

dkstm95/hope

Skill Claude CodeCodex

Use only when someone explicitly invokes $hope:sweep in Codex, /hope:sweep in Claude Code, or the host's explicit Hope Sweep command to apply behavior-preserving maintenance across a codebase and its directly supporting material. Do not use for ordinary maintenance questions, reviews, planning, bug fixes, feature…

8 2d ago A 71 tokens original MIT

toxic-review

05

dkstm95/hope

Skill Claude CodeCodex

Use for a strict, skeptical, risk-focused review of a named work product without attacking people or inventing criticism.

8 2d ago A 27 tokens original MIT

write

06

dkstm95/hope

Skill Claude CodeCodex

Use as the cross-cutting language standard whenever clearer language would improve any task, including standalone drafts, edits, and reviews and language within implementation or another Skill; preserve meaning, facts, uncertainty, citations, exact text, and voice.

8 2d ago A 49 tokens original MIT