@open-gsd
组织
Most AI coding setups rot as the context window fills. Open GSD keeps the context clean, the work verified, and the git history honest — ship more, worry less.
73 个技能1 个仓库 1.1万
Manage project phases from one terminal with a status dashboard and suggested next actions. Discuss one phase while background agents plan or execute another, keeping work across a milestone visible in one place.
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Check project progress, summarize recent work and remaining tasks, and move to the next GSD workflow step. It also supports automatic step chaining and routes plain-language requests to suitable GSD commands.
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Audit acceptance tests, which check whether features meet user needs, and verification records across project phases. Compare outstanding items with the codebase, flag outdated documentation, and produce a prioritized plan for human testing.
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Generate or update up to nine project documentation files using agents that inspect the code directly. Check documentation against the implementation, review existing files without writing changes, or explicitly regenerate all documentation.
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Audit a completed AI development phase to check whether its planned evaluations were implemented. Produce EVAL-REVIEW.md with a score, verdict, identified gaps, and a plan to address missing coverage.
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Turn a development phase into an actionable PLAN.md through research, planning, and verification. The skill can incorporate requirements or recorded design decisions, then check and revise the plan before presenting the results.
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Investigate bugs through symptom gathering and hypothesis testing, with saved investigation state across context resets. Resume earlier sessions, check their status, or request a root cause report without applying a fix.
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Start a new development milestone for an existing project. The skill gathers goals, updates project documents, optionally researches new features, and creates scoped requirements and a phased roadmap for the next cycle of work.
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Store phase documents verbatim in MemPalace, organized as decisions, plans, or milestones. Avoid duplicate entries and mirror decision or delivery facts into a knowledge graph that records when those facts became valid.
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Prepare an existing codebase for GSD planning by mapping its structure, ingesting documentation, and initializing project records. The workflow creates or confirms planning files and produces an onboarding summary with findings and the next command to run.
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Configure GSD through one command, covering model choice, research, plan checks, verification, and branching. Additional modes handle detailed workflow settings, external service integrations, and model profiles, which are named groups of model settings.
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Run several small development tasks as one batch, from planning through execution and merging. Control concurrency, add research or validation, and resume eligible unfinished items from a saved batch.
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Look up available GSD commands and how to use them. Choose a quick reminder, a one-page overview, a complete reference, or help focused on a single topic.
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Manage development phases in ROADMAP.md with one command. Add work to a milestone, insert urgent work between existing phases, edit phase fields, or remove future phases and renumber those that follow.
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Turn completed milestone artifacts into one readable project summary. It explains what was built, how it works, and why decisions were made, helping new team members get started and supporting project reviews.
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Execute a development phase by grouping plans into waves, sets of tasks that can run together based on dependencies. Collect results, verify completion, and update progress, with options to run a selected wave or work sequentially with checkpoints.
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Review open GitHub issues and pull requests against project templates and contribution guidelines. Get a report on missing information and compliance, with options to apply recommended labels or close incomplete submissions with an explanatory comment.
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Clarify implementation choices before planning a development phase. The skill reviews existing project context and code, asks about unresolved decisions, and records the answers in a context file for research and planning agents.
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Prepare an AI-SPEC.md design agreement for an AI development phase. The skill coordinates framework selection, documentation and domain research, and evaluation planning so the phase has a defined technical direction and assessment strategy.
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Retrieve past decisions, recurring patterns, and unexpected issues from MemPalace before planning a phase. The skill produces a concise file with source references for the planner and falls back to GSD’s native memory when MemPalace is unavailable.
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Review development plans with external AI tools, then revise and review them again while actionable concerns remain. Choose reviewers and a cycle limit to work toward a plan with resolved review findings.
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Build a developer profile from past sessions or a questionnaire, then generate files and settings that personalize Claude's responses. Choose which outputs to create and compare changes when refreshing an existing profile.
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Review code changed during a project phase for bugs, security vulnerabilities, and quality issues. Choose the review depth or specific files, receive findings grouped by severity, and optionally apply fixes followed by another review.
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Extract decisions, lessons, recurring patterns, and unexpected findings from the artifacts of a completed development phase. It organizes these learnings into a LEARNINGS.md file using planning, summary, verification, acceptance testing, and state documents.
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