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Claude Skills by airshell
github.com/airshell12 skills0 installs0 views
- Ai OptimizerAutonomous AI coding, token, and cost optimization engine. Enforces strict YAGNI architecture, surgical code diffs, stdlib-first solutions, context compression, and prompt-cache maximization across coding agents. Levels: lite, full (default), ultra.Votes: 0GitHub stars: 2
- Context BudgetAudits coding assistant context window consumption across agents, skills, tools, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations. Use when the context window is filling up too fast and components consuming it need to be identified.Votes: 0GitHub stars: 2
- Cost TrackingTracks and analyzes AI coding assistant token usage, model spending, and session costs from local logs without remote dependencies.Votes: 0GitHub stars: 2
- Opt CompressRewrites project instruction and guideline files (AGENTS.md, workspace rules, styleguides) into high-signal declarative form, saving input tokens on every session without changing operational meaning. Backs up original file first.Votes: 0GitHub stars: 2
- Opt DebtScans the codebase for deliberate YAGNI shortcut markers (shortcut:, opt:) and compiles an actionable technical debt ledger with revisit triggers.Votes: 0GitHub stars: 2
- Opt DesignSame visual pixels, ~50% fewer code tokens. Enforces dense, high-performance HTML/CSS authoring for user-facing landing pages, components, and dashboards without sacrificing visual polish, motion, responsiveness, or accessibility.Votes: 0GitHub stars: 2
- Opt LoopEnforces cost discipline and cache-aware pacing for autonomous agent loops and recurring cron tasks. Prevents runaway token consumption through prompt-cache alignment, short-circuit checks, and hard exit stops.Votes: 0GitHub stars: 2
- Opt MemoryCreates and maintains a single committed project memory file (PROJECT.md) storing stable, expensive-to-rediscover architectural intent, build commands, and key decisions. Prevents coding assistants from re-grepping the repo on cold starts.Votes: 0GitHub stars: 2
- Opt ReviewReviews a code diff for unnecessary bloat and over-engineering — speculative parameters, premature abstractions, dead code, hand-rolled standard library features, and redundant narration comments. Outputs a concise delete-list with exact line counts saved. Use before opening a PR or committing changes.Votes: 0GitHub stars: 2
- Prompt OptimizerAnalyzes raw prompts, identifies intent and missing context, and outputs a surgical, high-signal, prompt-cache friendly prompt. Advisory role only — never executes the task directly. TRIGGER when: user says "optimize prompt", "improve my prompt", "rewrite this prompt", "help me prompt", "compact this prompt", or asks how to prompt effectively for coding tasks.Votes: 0GitHub stars: 2
- Regex Vs LlmDecision framework and hybrid pattern for choosing between deterministic regex and LLM extraction. Handles 95%+ of structured text tasks with zero tokens, reserving LLMs strictly for edge cases.Votes: 0GitHub stars: 2
- Token Budget AdvisorOffers the user an informed choice about how much response depth to consume before generating an answer. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: "token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed answer", "exhaustive answer", "save tokens", "respond at 50%", "give me the short version", "depth control", or clear variants asking to cont...Votes: 0GitHub stars: 2