skraft
claudecodexskraft SDLC pipeline — agents, skills and hooks for outside-in TDD, Clean Architecture and the RESEARCH→DESIGN→DISTILL→DELIVER engineering pipeline.
43 skills · hooks
skraft backlog — discover and triage GitHub issues, refine them into ready stories, and review each issue's refinement in a comment, from your editor or a GitHub Agentic Workflow.
Plugin skraft-backlog from marketplace skraft in SebastienDegodez/skraft-plugin. Commands read from the repo's manifest — yesterday.
backlog-review-lensesUse when a triage report, a sprint proposal, refined stories or a refinement proposal for one issue must pass an independent review before it is handed on: dispatching each review lens with only its own inputs, collecting their results and turning them into a verdict with the bundled script. Not for
discovery-review-criteriaUse when reviewing DISCOVER artefacts (triage reports, sprint proposals) for completeness, prioritization quality, and duplicate handling. Contains gate definitions G1-G6 and scoring rubric for the lenses of the backlog-discoverer review gate.
github-issue-searchUse when finding GitHub issues to work on, exploring a backlog by labels, milestones or assignees, finding issues related to changed files, or writing a triage label or a refinement comment on an existing issue. Covers issue discovery queries, pagination and ranking, and the write route for each hos
issue-refinementUse when transforming raw issues or feature requests into well-structured user stories with acceptance criteria. Covers user story format, INVEST criteria, acceptance criteria patterns, story splitting techniques, DoR 8-item gate, and 8 antipatterns to detect.
issue-triageUse when triaging GitHub issues by assigning labels, priority, effort estimates, or detecting duplicates. Covers triage methodology, label taxonomy, priority frameworks, effort sizing, and sprint proposal construction.
planning-review-criteriaUse when reviewing DISCUSS artefacts (stories, acceptance criteria, sprint plans) for INVEST quality, planning coherence, and DoR compliance. Contains gate definitions G1-G8 and scoring rubric for the the backlog-planner review gate lenses.
refinement-proposalUse when reviewing one GitHub issue and proposing its refinement as a comment: Definition of Ready check, Fibonacci size and capacity estimate, ready or needs-refinement verdict, a proposed story with domain examples and acceptance criteria, what is vague or non-compliant in the current criteria, ch
sprint-planningUse when planning sprint content, prioritizing stories within milestones, estimating capacity, or analyzing dependency graphs between stories. Covers MoSCoW prioritization, milestone management, velocity tracking, and dependency resolution for GitHub-based workflows.
/skraft-backlog:skraft-refineReview one GitHub issue and post its refinement proposal as a comment — Definition of Ready, Fibonacci size, proposed story, domain examples, acceptance criteria, defects of the current criteria. Runs with your own model and credentials.
skraft SDLC pipeline — agents, skills and hooks for outside-in TDD, Clean Architecture and the RESEARCH→DESIGN→DISTILL→DELIVER engineering pipeline.
43 skills · hooks
Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
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