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dotfiles
dotfiles enthält 65 gesammelte Skills von aming, mit Repository-Berufsabdeckung und Skill-Detailseiten auf SkillsMP.
Skills in diesem Repository
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Use this skill when the user wants direct operations on an Obsidian vault: read or edit notes and daily notes, search vault contents, count or list notes, manage tasks, move or rename files, find orphaned notes or broken links, inspect frontmatter/properties, manage sync or file history, query Bases, manage bookmarks, script the CLI, or run JavaScript against the Obsidian API. Trigger when the request implies "go into my vault and do X"; the user wants action on vault data, not an explanation. Skip pure conceptual or GUI-help questions such as settings navigation, theme/plugin installation, sync troubleshooting, Dataview syntax, keyboard shortcuts, or parsing vault files with unrelated external scripts.
Captures corrections, failures, missing capabilities, and reusable discoveries in agent so future work improves. Use this skill whenever a command, tool, or API fails unexpectedly; the user corrects the agent; the agent realizes its knowledge is outdated or wrong; a missing capability is exposed; or a better recurring approach is discovered. Record the result under .agents/learnings/, review related entries before major tasks, and promote durable workflow rules into AGENTS.md when they should change future behavior.
Generate tests for a completed phase based on UAT criteria and implementation
Generate an AI-SPEC.md design contract for phases that involve building AI systems.
Autonomous audit-to-fix pipeline — find issues, classify, fix, test, commit
Audit milestone completion against original intent before archiving
Cross-phase audit of all outstanding UAT and verification items
Run all remaining phases autonomously — discuss→plan→execute per phase
Capture ideas, tasks, notes, and seeds to their destination
Archive accumulated phase directories from completed milestones
Review source files changed during a phase for bugs, security issues, and code quality problems
Archive completed milestone and prepare for next version
Configure GSD settings — workflow toggles, advanced knobs, integrations, and model profile
Systematic debugging with persistent state across context resets
Gather phase context through adaptive questioning before planning.
Generate or update project documentation verified against the codebase
Audit an executed AI phase's evaluation coverage and produce an EVAL-REVIEW.md remediation plan.
Execute all plans in a phase with wave-based parallelization
Socratic ideation and idea routing — think through ideas before committing to plans
Extract decisions, lessons, patterns, and surprises from completed phase artifacts
Execute a trivial task inline — no subagents, no planning overhead
Post-mortem investigation for failed GSD workflows — diagnoses what went wrong.
Build, query, and inspect the project knowledge graph in .planning/graphs/
Diagnose planning directory health and optionally repair issues
Show available GSD commands and usage guide
Ingest external plans with conflict detection against project decisions before writing anything.
Triage and review open GitHub issues and PRs against project templates and contribution guidelines.
Bootstrap or merge a .planning/ setup from existing ADRs, PRDs, SPECs, and docs in a repo.
Interactive command center for managing multiple phases from one terminal
Analyze codebase with parallel mapper agents to produce .planning/codebase/ documents
Generate a comprehensive project summary from milestone artifacts for team onboarding and review
Plan a phase as a vertical MVP slice — user story, SPIDR splitting, then plan-phase
Start a new milestone cycle — update PROJECT.md and route to requirements
Initialize a new project with deep context gathering and PROJECT.md
Create context handoff when pausing work mid-phase
CRUD for phases in ROADMAP.md — add, insert, remove, or edit phases
Create detailed phase plan (PLAN.md) with verification loop
Cross-AI plan convergence - replan until review concerns are resolved.
Create a clean PR branch by filtering out .planning/ commits — ready for code review