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SkillsMP has collected 73 skills from oysteinkrog/dotfiles. Open a skill to review its source and details.
Showing 40 of 73 collected skills.
Consult Fable (primary oracle) for expert second opinions; escalate to GPT-5.6 Sol (via Codex CLI) or GPT-5.5-Pro (via PAL) only for extremely important or complex tasks (always paired with Fable). Use for complex decisions, architecture choices, debugging…
Run 2x oracle sessions (FOR + AGAINST stances) to validate design decisions, plans, or bead readiness. Default = two Fable subagents; escalate to GPT-5.6 Sol via Codex CLI or PAL 2x GPT-Pro (always paired with Fable) for extremely important or complex…
Use the local Codex CLI as an independent second agent. Two branches — (1) proactively run `codex review` for a second opinion after completing a substantive change, before presenting it as done or committing; (2) delegate a well-defined implementation task…
Get a second opinion on an image by asking the OpenAI Codex CLI to look at it. Use when the user wants Codex (GPT) to analyze an image they (or you) just looked at, asks for "a second opinion on this image", says "have codex look at it", or wants cross-model…
When a spec under specs/<feature>/ is done shipping (a write-spec build, or any planned task that produced a spec), archive it to specs/done/ and rewrite it from a build-plan into a durable rationale — the why, the principles, the invariants — pointing back…
Review changed code for naming, stale references, unnecessary complexity, and comment quality. Use after completing implementation work, before committing, or when the user asks to review or audit code.
Run [implement-spec](../implement-spec/SKILL.md) with Codex doing the implementation passes while you orchestrate, integrate, and review. Use when the user asks to implement a spec with Codex, or to run implement-spec with Codex as the implementer.
Refactor cleanly instead of layering sediment. Use when a change reveals duplicated concepts, local adapters, obsolete owners, compatibility wrappers, parallel abstractions, an over-large module that has accreted many responsibilities, or "just tack this on"…
Break large features into independently verifiable, human-reviewable slices under specs/<feature>/. Use for risky or multi-step feature work that needs upfront questioning, API seams, browser-playable checkpoints, HTML visualizations, screenshot gates, staged…
Replace Tokio Rust stacks with Asupersync. Use when migrating tokio/axum/hyper/tonic apps, designing native Cx/region-based services, or debugging Asupersync internals.
Rebuild CHANGELOG.md files and release histories from git, tags, releases, and issue trackers. Use when writing changelogs, version timelines, or agent-facing project history summaries.
Handle blocked destructive commands. Use when dcg blocks rm -rf, git reset --hard, DROP DATABASE, kubectl delete, or when configuring agent safety guardrails.
Find and fix concurrency bugs - deadlocks, races, livelocks, await-holding-lock, database locks, LD_PRELOAD init, swarm races. Use when processes hang, tests flake, or auditing concurrency.
Post images (screenshots, diagrams) inline in a GitHub PR or issue comment, including PRIVATE repos, without committing them to git. Uploads each image to a company Cloudflare Worker (backed by a private R2 bucket) and embeds the returned URL; GitHub's camo…
Non-interactive partial staging of git hunks (git add -p alternative). Use when the user wants to stage specific hunks, make partial commits, split changes across commits, or says "partial stage", "stage hunks", "split commit", "selective stage", or "commit…
Generate images via OpenAI's gpt-image-2 (the SOTA OpenAI image model as of 2026). Use when the user wants to create, generate, render, or produce an image with OpenAI / GPT (e.g. "make me an image of...", "generate a logo with gpt-image", "use openai image…
Generate images via Google Gemini Nano Banana Pro (gemini-3-pro-image-preview), the SOTA Google image model as of 2026. Use when the user wants to create, generate, render, or produce an image with Google / Gemini (e.g. "make me an image with gemini", "use…
Update dependencies to latest stable versions. Use when upgrading libraries, updating Cargo.toml, pyproject.toml, package.json, go.mod, Gemfile, or modernizing dependencies.
Operationalize expert methods into corpus, quote bank, triangulated kernel, operator library, and validators. Use when distilling a methodology or mining session history into executable rules.
Rank hot paths by CPU, memory, I/O, and contention; hand the optimization skill a scored target list. Use when: profile, flamegraph, hotspot, bottleneck, p95/p99, IOPS, fsync, "why is this slow".
Restore machine responsiveness via safe, selective process cleanup. Use when system unresponsive, high CPU/load average, IO pressure, filesystem cache bloat, memory pressure from btrfs/ext4, stuck tests, competing cargo builds, confused agents in loops, swap…
Search X (Twitter) archives for insights, conversations, and knowledge. Use when mining tweets, DMs, Grok chats, likes, or extracting information from X data exports.
Spin up a team of parallel Opus agents to research, design, review, plan, or create beads. Generic multi-agent orchestration for any task that benefits from parallel exploration. Use when user says "spin up N agents", "research swarm", "design swarm", "review…
Convert implementation plans into actionable beads with proper structure, acceptance criteria, dependencies, and test requirements. Use after completing an implementation plan and before starting development.
Run the full bead quality pipeline — review, oracle validation, hardening, and final verification. Iteratively improves beads until they are implementation-ready with zero issues. Use after creating beads or when beads need quality improvement.
Convert a PRD to br (beads_rust) issues. Creates an epic with child issues for each user story, sets up dependencies, and appends quality gates. Triggers on: convert prd, prd to beads, create beads from prd, prd to br, create issues from prd.
Apply architecture audit findings to rewrite, augment, or restructure existing beads. Use after a code audit reveals gaps, when VM/model splits are needed, or when beads need restructuring based on new understanding of the codebase.
Alias for the execution swarm; delegates to /swarm.
Alias for swarm status; delegates to /swarm-status.
Run the full iterative hardening loop (multi-lens review, oracle consensus, fresh-eyes hardening, final correctness pass) on beads, plans, or code. Each round finds and fixes issues; loop converges when no CRITICAL/HIGH issues remain.
Run iterative oracle + agent hardening loop on any artifact (designs, plans, beads, architecture) until findings converge to near-zero. Combines /swarm-oracle with /swarm-review in alternating rounds. Use for the full hardening cycle, not just a single oracle…
Playbook for large-scale AI-assisted feature development. Covers 5 meta-patterns (two-track prioritization, escalating agent teams, oracle integration, convergence detection, fresh-eyes principle) plus full pipeline phases. Use when orchestrating a major…
Generate a comprehensive plan/PRD for AI agent execution. Creates agent-operable plans with architecture, security, testing, and user stories that convert to beads. Triggers on: create a prd, write prd for, plan this feature, requirements for, spec out.
Run 10 parallel review agents, each with a different quality lens (correctness, safety, perf, a11y, etc.), against plans, beads, code, or architecture decisions. Use when a thorough multi-perspective review is needed before shipping.
Act as a wise, effective teacher whose goal is to make the human deeply understand the work done in this session (a change, a bug fix, a feature, a design) — i.e. sync the human's mental model up to the agent's. Use when the user says "sync-human", "sync me…
MCP Agent Mail for multi-agent coordination. Use when agents need file locks, messaging, inboxes, or conflict prevention. Handles macro_start_session, file_reservation_paths, send_message, threading, pre-commit guards.
Retrieve API tokens, keys, and credentials Oystein has stored locally. Use whenever code, scripts, or shell commands need a secret value: GitHub tokens, Cloudflare, HubSpot, Slack, Zendesk, Jira, Sentry, Anthropic, Apify, Browserbase, Google OAuth, Huma. Use…
Multi-perspective project analysis via NTM reasoning-mode agent swarm. Use when "modes of reasoning", "multi-perspective analysis", or "epistemological review" of any project.
Prepare project releases: run test suites, fix broken/obsolete tests, bump versions, build cross-platform binaries via GitHub Actions CI or dsr/rch fallback, create GitHub releases with checksums, verify installers. Use when: release, cut release, prepare…
Tend NTM agent swarms: orchestrator loop, marching orders, autonomous recovery of stuck or rate-limited panes, review-only mode, and work coordination via Agent Mail, Beads, and BV.