Portable AI coding-agent skills for source-attributed, human-approved context packages.
This repository also configures its own agents. See what context-engineering-protocol tells them →
linkpranay-ai/context-engineering-protocol
Command GitHub Copilot
Compile scattered guideline sources into one scope-aware COMPILED-GUIDELINES.md for other skills and ult-context-generate's Constraints layer. Do NOT use to enforce rules at runtime.
linkpranay-ai/context-engineering-protocol
Command GitHub Copilot
Worked example: discover, load, and tag an approved context package, then write a reverse-index addendum. Proves the produce/consume/tag loop end-to-end. Not for real feature work.
linkpranay-ai/context-engineering-protocol
Command GitHub Copilot
Reference implementation that writes functional user stories from a feature description, optionally grounded in an approved CEP context package per CONSUMING-CONTEXT-PACKAGE.md, with per-story citations and the standard tag/reverse-index loop. A worked example for downstream teams building their own context-consuming…
linkpranay-ai/context-engineering-protocol
Command GitHub Copilot
Generate real starter content for a project's What-L2 (requirements) and How-L2 (architecture/conventions) CEP layers once ult-repo-layout has resolved their paths but found them empty — an honest, minimal, YAML-frontmatter-first overview document per layer for small/single targets, or graphify-informed per-module…
linkpranay-ai/context-engineering-protocol
Command GitHub Copilot
Point at an existing skill library, inventory it format-agnostically, and (with human confirmation at every step) insert pointers to CEP's existing CONSUMING-.md contracts into the skills that should consume them. Do NOT use to write new CONSUMING-.md contracts, validate that a retrofit works at runtime, or edit a…
linkpranay-ai/context-engineering-protocol
Command GitHub Copilot
Launch a local, localhost-only browser wizard for a project with ult-repo-layout installed (initialized or not) — guides an uninitialized or not-yet-discovered repo through Run Discover, then shows resolved layer/slot state through four labeled boxes and a directory picker, and lets you resolve pending layout…
linkpranay-ai/context-engineering-protocol
Command GitHub Copilot
Generate or refresh a codebase knowledge graph (graphify) at its fixed graphify-out/ location so other skills can query cross-file relationships. Piloting — re-run after code changes.
linkpranay-ai/context-engineering-protocol
Command GitHub Copilot
Assemble a structured, source-attributed, human-approved context package (code graph, requirements, constraints, blast radius) before any downstream artifact-generation skill runs. Piloting.
linkpranay-ai/context-engineering-protocol
Command GitHub Copilot
Distill decisions, reasoning, and rejected alternatives from PRs, design docs, and postmortems into the project's decisionledger, so ult-context-generate's trip-wire can surface institutional memory before new work quietly repeats settled ground. Do NOT use to query the ledger against new work or decide…
linkpranay-ai/context-engineering-protocol
Command GitHub Copilot
Discover CEP-managed content already present in a target repo (What/How layer docs, compiled guidelines, context packages, decision ledger) via existence checks against layout-slots-registry.yaml-resolved paths, then write one canonical root AGENTS.md onboarding index plus thin per-tool pointer stubs…
linkpranay-ai/context-engineering-protocol
Command GitHub Copilot
Register, resolve, and validate where a project's path-slots actually live via .layout-slots.yaml markers, so relocating a slot needs zero SKILL.md edits. Do NOT use for single-file lookups.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: