Loading...
Loading...
Found 57 Skills
Transform reverse-engineering documentation into GitHub Spec Kit format. Initializes .specify/ directory, creates constitution.md, generates specifications from reverse-engineered docs, and sets up for /speckit slash commands. This is Step 3 of 6 in the reverse engineering process.
Extracts exact, behaviour-first specifications from an existing codebase. Defines domain concepts, use cases, and business rules with precision — zero implementation details. Use when reverse-engineering a legacy project into precise specs or preparing an AI-friendly spec set for a rewrite.
Incrementally update reverse-engineering docs based on git changes since they were last generated. Reads the commit hash from .stackshift-docs-meta.json, diffs against HEAD, analyzes only the changed files, and surgically updates the affected docs. Saves time and cost compared to full regeneration.
Codifies how someone or a brand writes — prose mechanics (lexicon, syntax, rhythm, structure, signature moves) independent of emotional tone. Output: PROSE.md. Three modes: BUILD a fresh guide from SOUL.md + TONE.md + discovery interview; ADAPT an existing guide to a new channel; AUDIT a corpus for prose patterns before codification. Use when: writing rules for a content factory, codifying ghostwriting voice for multi-writer consistency, defining banned words and sentence-length targets, building a house style guide, reverse-engineering prose from a corpus, porting style across channels. Trigger on: PROSE.md, writing style guide, prose guide, house style, ghostwriter style, writing playbook, brand writing mechanics, signature moves. NOT for: writing actual content (→ linkedin-ghostwriting, technical-article-writer, press-release-writer), removing AI patterns (→ humanizer), tone decisions (→ copywriting-tone-of-voice), hooks (→ copywriting-hooks), CTAs (→ copywriting-cta).
SEO intelligence toolkit covering the full lifecycle via live web data: keyword research, rank tracking, site audits, content gap analysis, competitor keyword reverse-engineering, AI visibility across five platforms (ChatGPT, Perplexity, Google AI, Gemini, Grok), and GitHub repo SEO. Crawls real sites and SERPs via Nimble CLI — no fabricated metrics. Triggers: "SEO", "keywords", "rank tracker", "site audit", "content gap", "competitor keywords", "AI visibility", "GitHub SEO", "SERP analysis", "keyword research", "technical SEO", "keyword difficulty", "topic clusters", "ranking delta", "on-page SEO", "AI citation audit". Do NOT use for competitor business signals — use `competitor-intel` instead. Do NOT use for competitor messaging — use `competitor-positioning` instead. Do NOT use for general web scraping — use `nimble-web-expert` instead.
Use this skill whenever reverse-engineering a Sketch file (or Figma export with similar shape) into pixel-perfect React + CSS — covers the iteration mental model, tree reconstruction, layout inference algorithms, geometry math, visual-regression diffing, and the style/typography/path conversions that make "improvement without regression" enforceable. Trigger even if the user doesn't explicitly mention "algorithms" but is converting a design source into web code, building a design-to-code pipeline, or struggling to make incremental fidelity improvements without breaking previously-converted output.
Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.
Analyze a website's SEO visibility, keyword rankings, traffic estimates, and competitive positioning. Uses web search probes, SimilarWeb (free tier via web), and site: queries to build an SEO profile without requiring paid tool subscriptions. Useful for competitive intel, gap analysis, and reverse-engineering a company's organic acquisition strategy.
Multi-repo synthesis and reimagination. Load reverse-engineering docs from multiple repositories, extract a unified capability map, identify duplication and inefficiency, then brainstorm with the user to reimagine how those capabilities could work together in a new, better way. Generates new specifications for the reimagined system. The killer feature for enterprise modernization.
Specialized in reverse-engineering compiled binaries (JARs, DLLs). Use this when the user asks to compare versions, find security fixes, or analyze binary patches.
Guidance for extracting and processing data from ELF (Executable and Linkable Format) binary files. This skill should be used when tasks involve parsing ELF headers, reading program segments, extracting memory contents, or converting binary data to structured formats like JSON. Applicable to reverse engineering, binary analysis, and memory dump extraction tasks.
IDA Pro Python scripting for reverse engineering. Use when writing IDAPython scripts, analyzing binaries, working with IDA's API for disassembly, decompilation (Hex-Rays), type systems, cross-references, functions, segments, or any IDA database manipulation. Covers ida_* modules (50+), idautils iterators, and common patterns.