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linkpranay-ai

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Portable AI coding-agent skills for source-attributed, human-approved context packages.

12 indexed · 0 Featured · 9 stars · avg score 82
Prolific

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Indexed Skills (12)

AI & Automation Solid

compiling-project-guidelines

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.

9 Updated today
linkpranay-ai
AI & Automation Solid

repo-layout

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.

9 Updated today
linkpranay-ai
AI & Automation Solid

cep-retrofit

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 library's own logic beyond the inserted pointer.

9 Updated today
linkpranay-ai
AI & Automation Solid

institutional-memory-distill

Distill decisions, reasoning, and rejected alternatives from PRs, design docs, and postmortems into the project's decision_ledger, 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 revise/proceed/escalate -- that's ult-context-generate/SKILL.md Step 7.7's job.

9 Updated today
linkpranay-ai
AI & Automation Solid

autoscaffold-content

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 tiering with resumable per-module CONTEXT.md generation, existence-gated CODING-STANDARDS.md/TESTING-GUIDELINES.md, interface-boundary docs for graph-crossing module pairs, and a rendered CEP-INDEX.md router for large repos, optionally informed by a user-supplied domain-pack of terminology/references if one is configured. This skill generates a NEW starter doc only when none exists — it never compiles or reconciles EXISTING scattered guideline sources (that's compiling-project-guidelines' job). Do NOT use to enforce layout paths or run layer discovery — that's ult-repo-layout. Do NOT use to author or generate a domain pack — this skill only ever consumes one you already wrote.

9 Updated today
linkpranay-ai
AI & Automation Solid

cep-wizard

Launch a local, localhost-only browser wizard with two journeys — layout onboarding 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 decisions (confirm/skip/disable/pick-a-directory) and Apply them into context-config.yaml via ult-repo-layout's own confirm step; and retrofit — walks an existing skill library through ult-cep-retrofit's inventory/classify/draft/apply flow, with an editable per-file diff preview and batch Apply, never writing without that preview. Do NOT use for headless/CI-only layout validation — use ult-repo-layout's discover/confirm-layers/--validate directly.

9 Updated today
linkpranay-ai
AI & Automation Solid

onboarding-index

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 (.github/copilot-instructions.md, CLAUDE.md, .cursor/rules/onboarding.mdc) that link into it. All writes are marked-block or existence-gated and non-destructive, including install.sh's own AGENTS.md skill-catalog block. Codex needs no separate stub -- root AGENTS.md is already its native onboarding format. Do NOT use it to generate the CEP content itself (ult-autoscaffold-content/compiling-project-guidelines do that) or to resolve layer paths (ult-repo-layout does that). Do NOT confuse it with this OSS repo's own AGENTS.md (generated by catalog/export_adapters.py) -- this skill only ever writes into a separate target repo being onboarded with CEP.

9 Updated today
linkpranay-ai
AI & Automation Solid

demo-consume-context

Worked example that discovers, loads, and tags a context package per CONSUMING-CONTEXT-PACKAGE.md, then writes a reverse-index addendum — proves the produce/consume/tag loop end-to-end. Do NOT use for real feature work.

9 Updated today
linkpranay-ai
AI & Automation Solid

codegraph

Generate a codebase knowledge graph with `graphify` at `graphify-out/` so other skills can query cross-file relationships before touching code. Do NOT use for runtime profiling.

9 Updated today
linkpranay-ai
AI & Automation Solid

context-generate

Assemble a context package (code graph, requirements, constraints, blast radius) before a downstream generation task runs - human-approved, source-attributed. Do NOT use for simple lookups.

9 Updated today
linkpranay-ai
AI & Automation Solid

demo-write-user-stories

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 skills.

9 Updated today
linkpranay-ai
AI & Automation Listed

writing-plans

Use when you have a spec or requirements for a multi-step task, before touching code

9 Updated today
linkpranay-ai

Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.