jscraik/Agent-Skills

Skills SDK for Codex/AI coding agents: author, validate, evaluate, and sync runtime projections through ask.

8Stars on the repository
200Mods indexed here, across every type
4d agoLast push, which is what freshness is scored on
Apache-2.0Licence, which decides whether bodies are shown

unslopify

01

jscraik/Agent-Skills

Skill Claude CodeCodex

Use when you need focused cleanup audits, safe removals, scoped quality-risk reductions, and evidence-backed cleanup plans before touching code.

not rated 8 4d ago A 30 tokens original Apache-2.0

he-router

02

jscraik/Agent-Skills

Skill Claude CodeCodex

Route ambiguous Harness Engineering requests to one lifecycle stage when users ask where to start, resume, plan, implement, review, debug, schedule a heartbeat, or resolve domain terminology.

not rated 8 4d ago A 38 tokens original Apache-2.0

skill-refactor

03

jscraik/Agent-Skills

Skill Claude CodeCodex

Scan Codex session history for skill failures, usage patterns, and coverage gaps. Use when the user wants daily skill-health monitoring or evidence-backed recommendations about installing, improving, merging, or pruning skills.

not rated 8 4d ago A 44 tokens original Apache-2.0

skillify

04

jscraik/Agent-Skills

Skill Claude CodeCodex

Capture a completed Codex workflow as a reusable SKILL.md package by analyzing session context plus optional session-collector evidence, interviewing the user with structured prompts, and writing a validated skill artifact. Use when the user asks to skillify or operationalize a repeatable process.

not rated 8 4d ago A 57 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

This fixture intentionally omits frontmatter so scaffold parser tests can prove the invalid skill-source path is rejected.

not rated 8 4d ago A 0 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Use when the user asks about Shachar Azriel's AI Native DevCon talk on executable specs, verification layers for agentic coding, planner/verifier separation, requirement mapping, product-gap detection, and safe review architecture.

not rated 8 4d ago A 53 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Use when the user asks about Macey Baker and Baruch Sadogursky's workshop-style AI Native DevCon session on turning repeated agent work into skills, rules, scripts, hooks, and evals.

not rated 8 4d ago A 56 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Use when the user asks about Christopher Batey's talk 'Building Product Teams in the Age of AI: What We Had to Relearn Every Quarter' (Latent Space, 2026) — including questions about running AI-assisted product engineering teams, his three pillars (path to production at AI speed, training/evaluating AI-enabled…

not rated 8 4d ago A 155 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Answers questions about, retrieves safe excerpts from, explains concepts from, and summarizes key arguments in Birgitta Böckeler's talk "State of Play: AI Coding Assistants" (AI Native Dev conference, 2026). Use when the user asks about the last 12 months in AI coding assistants, model-task fit, LLM statelessness…

not rated 8 4d ago A 139 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Use when the user asks about Justin Cormack's AI Native DevCon talk on tests, observability, AI-generated behavior, evidence, instrumentation, and keeping AI systems honest when test signals are incomplete.

not rated 8 4d ago A 53 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Use when the user asks about Patrick Debois's talk "Coding Agents Don't Scale Themselves. Neither Do Your Teams. The Rise of Agent Enablement." — including questions about agent enablement teams, the three pillars (Enablement, Platform, Governance), the Context Development Lifecycle applied to org charts, AI product…

not rated 8 4d ago A 129 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Answers questions about Brian Douglas's talk on training AI on your own code. Use when a user asks about Brian Douglas's pipeline for capturing agent sessions, extracting skills from traces, fine-tuning small local models, tapes/steros tooling, SFT vs DPO decisions, or wants to apply his agent telemetry and training…

not rated 8 4d ago A 93 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Answers questions about, applies frameworks from, and generates artifacts based on Tammuz Dubnov's talk "When Our PM Started Writing Code: What Merge Rate Taught Us About AI Adoption." Grounds every response in the bundled transcript and outline files. Use when a user asks about AI-native org design, merge rate…

not rated 8 4d ago A 139 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Summarizes, explains, and answers questions about Dave Farley's talk 'Vibe Coding — Is this really the best we can do?', including key arguments, frameworks, and recommendations. Provides verbatim-cited explanations of Farley's three properties of programming languages, audits AI-coding setups against his…

not rated 8 4d ago A 194 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Use when the user asks about Maximiliano Firtman's ("Maxi") AI Native DevCon talk on Web MCP and the agentic web — including questions about how Web MCP differs from MCP, exposing frontend tools to AI agents, the imperative vs declarative Web MCP APIs, tool design guidance (name/description/input schema/execute), the…

not rated 8 4d ago A 121 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Assists with questions about Hannah Foxwell's talk 'The Reinvention of the Dev Team'. Use when a user asks about Foxwell's arguments on agentic software development, engineering team composition, AI-driven velocity, dev-to-PM ratios, the three anchors (build something worth building, speed requires safety, people…

not rated 8 4d ago A 105 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Explains Kevin Groetzinger's Skills Everywhere talk and helps teams operationalize reusable skills: trigger design, ownership, discoverability, maintenance, quality review, and adoption loops. Use when the user asks about skill design, skill rollout, skill sprawl, shared agent instructions, or making skills reliable…

not rated 8 4d ago A 74 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Use when the user asks about Daniel Jones (Deejay) and Tomasz's talk "More software, faster — Odevo's AI Native transformation" — including questions about how Odevo (Sweden's third-largest private tech company, residential property management) rolled out agentic coding to its developers, the discovery → workshops →…

not rated 8 4d ago A 168 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Assists with questions about a practitioner panel talk titled 'From Pipelines to Prompts: Surviving the Shift to AI' featuring Stephane Jourdan, Simon (Saxo Bank), and Samantha. Use when a user asks about what panelists said, argued, or disagreed on regarding AI-native transformation, harness engineering…

not rated 8 4d ago A 141 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Answers questions about, summarises key insights from, and applies the security guidance of Joseph Katsioloudes's talk 'Code Security Reinvented: Navigating the era of AI'. Use when the user asks about AI-assisted secure coding, MCP servers, skills, agentic workflows, the 1-to-100 security-to-developer gap, start left…

not rated 8 4d ago A 134 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Use when the user asks about Dave Kerr's AI Native DevCon talk on bipolar disorder, dysregulation, and AI, including responsible interpretation of personal and clinical themes from the transcript.

not rated 8 4d ago A 51 tokens original Apache-2.0

jscraik/Agent-Skills

Skill Claude CodeCodex

Use when the user asks about Amit Kushwaha's AI Native DevCon talk on benchmarking agent-era systems, measuring performance beyond single LLM calls, inference, workflow complexity, tool use, and real-world workloads.

not rated 8 4d ago A 54 tokens original Apache-2.0

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