codebygarv

120 mods across 1 repository, 27 stars between them.

codebygarv/Ai-skills

Skill Claude CodeCodex

Curates and condenses codebase context, file contents, and prompts to optimize LLM token usage and response quality.

not rated 27 1mo ago A 29 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Resolves complex git rebase and merge conflicts with AST-level context, preserving intent across concurrent branches.

not rated 27 1mo ago A 26 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Generates technical interview questions plus an evaluation rubric for a given role or skill area. Use when preparing to interview a candidate and need structured, fair questions rather than ad hoc ones.

not rated 27 1mo ago A 41 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Turns raw meeting notes or transcripts into structured decisions and action items. Use after a meeting when raw notes/transcript exist and need to become a shareable summary.

not rated 27 1mo ago A 38 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Designs monorepo workspaces, dependency graphs, package sharing, and incremental build pipelines with Turborepo or Nx.

not rated 27 1mo ago A 34 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Formats structured end-of-shift summaries covering active incidents, degraded services, and pending follow-ups.

not rated 27 1mo ago A 27 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Generates a new-engineer onboarding guide from a codebase's actual structure - setup steps, architecture overview, key files, and where to start. Use when a project has no onboarding doc or an outdated one.

not rated 27 1mo ago A 48 tokens original MIT

prompt-enhancer

56

codebygarv/Ai-skills

Skill Claude CodeCodex

Refines vague, unstructured user prompts into clear, constraint-driven prompts with explicit formats and rules.

not rated 27 1mo ago A 24 tokens original MIT

retro-facilitator

57

codebygarv/Ai-skills

Skill Claude CodeCodex

Structures raw sprint retro notes into themes and concrete actions. Use after a retro when raw sticky-note-style input (what went well/poorly/to try) needs to become a clean summary with follow-through.

not rated 27 1mo ago A 47 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Breaks a single ticket or task into concrete, actionable subtasks. Use when one task feels too large or vague to just start on, at the individual-task level - not whole-project planning.

not rated 27 1mo ago A 45 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Quantifies technical debt into an actionable, prioritized burndown backlog with clear ROI estimates.

not rated 27 1mo ago A 28 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Audits design documents, sprint estimates, and technical debates for cognitive biases like anchoring, sunk cost, and optimistic scoping.

not rated 27 1mo ago A 33 tokens original MIT

decision-maker

61

codebygarv/Ai-skills

Skill Claude CodeCodex

Compares multiple candidate solutions against explicit criteria and trade-offs, and produces a structured recommendation. Use when the user has several real options and needs a defensible pick, not just a pros/cons list.

not rated 27 1mo ago A 44 tokens original MIT

deep-think

62

codebygarv/Ai-skills

Skill Claude CodeCodex

Breaks a complicated problem into smaller reasoning steps and evaluates multiple possible approaches before recommending one. Use for genuinely hard, multi-faceted problems, not routine tasks.

not rated 27 1mo ago A 36 tokens original MIT

devils-advocate

63

codebygarv/Ai-skills

Skill Claude CodeCodex

Deliberately takes the opposing position to a stated idea or decision and builds the strongest possible case against it, to identify weaknesses before commitment. Use when the user wants a genuine counter-argument, not agreement.

not rated 27 1mo ago A 48 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Deconstructs problems down to fundamental truths and foundational constraints rather than reasoning by analogy or convention.

not rated 27 1mo ago A 26 tokens original MIT

grill-me

65

codebygarv/Ai-skills

Skill Claude CodeCodex

Aggressively reviews, questions, and challenges an idea, implementation, architecture, or plan instead of agreeing with it. Use when the user wants their thinking pressure-tested, not validated.

not rated 27 1mo ago A 41 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Runs prospective failure simulations by assuming a project or deployment has failed and working backward to identify vulnerabilities.

not rated 27 1mo ago A 28 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Converts vague, informal, or incomplete requirements into clear functional and technical requirements, and flags open questions. Use when a request is too ambiguous to implement directly.

not rated 27 1mo ago A 36 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Performs 5-Whys and Ishikawa fishbone causal analysis to discover root causes behind systemic bugs, outages, and regressions.

not rated 27 1mo ago A 36 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Analyzes downstream cascade effects, systemic feedback loops, and unintended consequences of technical decisions.

not rated 27 1mo ago A 23 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Probes ambiguous specifications, hidden assumptions, and underspecified product requests through structured inquiry.

not rated 27 1mo ago A 23 tokens original MIT

codebygarv/Ai-skills

Skill Claude CodeCodex

Constructs weighted, multi-attribute decision matrices evaluating technical, architectural, or library choices.

not rated 27 1mo ago A 24 tokens original MIT

auth-flow-reviewer

72

codebygarv/Ai-skills

Skill Claude CodeCodex

Deep review of authentication, authorization, session, and SSO flows specifically - token lifecycle, session fixation, logout behavior, and OAuth/SSO correctness. Use when reviewing or designing login, session, or SSO code specifically.

not rated 27 1mo ago A 51 tokens original MIT

At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: