Plugin Claude Code
Plugin marketplace listing 1 plugin: pencil-dev-skill.
Plugin Claude Code
Plugin marketplace listing 1 plugin: pencil-dev-skill.
Plugin Claude Code
Teaches AI coding tools to design, edit, and validate pencil.dev UIs using .pen files, .lib.pen libraries, design-system docs, and the Pencil MCP server.
Instructions file CodexOpenCode
Instructions for Nisus74/pencil-skill, covering pencil-dev-skill: project context, project purpose, naming conventions, repository structure and project context files.
Instructions file
Instructions for Nisus74/pencil-skill: This project's canonical context lives in AGENTS.md.
Skill Claude CodeCodex
Use this skill for any pencil.dev work, such as designing UI in a .pen file, editing an open Pencil canvas, sketching or mocking screens, instantiating components from a .lib.pen library, reading an existing design system from a .pen or .lib.pen file, fixing batchdesign schema errors, or recovering from Pencil MCP…
Plugin Claude Code
An open-source Agent Skill that preserves what you mean and learns how you write from real examples.
Plugin Claude Code
An open-source Agent Skill that preserves what you mean and learns how you write from real examples.
Hook Claude Code
Runs before the agent uses a tool for Bash tool calls, executing guard-bash.sh via bash. From Nisus74/humanise.
Hook Claude Code
Runs after a tool call finishes for Write and Edit tool calls, executing post-edit.sh via bash. From Nisus74/humanise.
Settings file Claude Code
Agent settings declaring 2 hook events (PreToolUse, PostToolUse) and 11 allowed tools.
Instructions file CodexOpenCode
AGENTS.md instructions for Nisus74/humanise, covering agents.md and launch documentation.
Instructions file
Claude Code instructions for Nisus74/humanise, covering claude.md, the one rule: body vs soul, repo map, the acceptance gate (read before changing the engine) and commands.
Instructions file Gemini CLI
Gemini CLI instructions for Nisus74/humanise: Gemini CLI and Google Antigravity read this file. This repo is the humanise writing skill: it makes AI-generated prose sound like a specific human wrote it.
Skill Claude CodeCodex
Write, rewrite, edit and review human-facing prose in a specific person's voice. Use for emails, posts, reports, proposals, PRDs, board papers, documentation, applications, messages and any text the user will send, publish, present or sign off. Also use when the user asks for Australian English, natural writing, less…
Agent
Fails a draft before it ships. Invoked by humanise Step 6 (external pieces) and Step D5 (mandatory for long-form), and by the self-harness acceptance gate for high-stakes changes. Runs in a separate context with no access to the drafting rationale, because the writer shares the draft's blind spots.
Agent
Draft generator for the benchmark and indistinguishability stages of /humanise improve. Runs in one of two modes set by the spawn prompt, skill (full workflow) or baseline (no skill context), and writes the finished draft to a given output path.
Agent
Checks a draft against its brief or source before it ships: are the specific claims true and supported, and does the piece still say what the brief asked? Invoked by humanise Step 6 and Step D5 for external pieces that carry checkable claims, when a brief or source exists. Unlike the adversarial-reviewer, it receives…
Agent
Drafts bounded engine-change proposals from mined weakness clusters (candidates.json), in the four-part self-harness schema. Separate context; sees only the evidence and the named engine surfaces, with no access to the conversation that produced them.
Agent
Blind pairwise judge for the indistinguishability test (evals/indistinguishability.md). Given two texts, decides which is the real person's and names the deciding signals. No corpus, no conversation, no labels.
Command
Run the deterministic checker on a draft (no LLM). Wraps evals/assertions/writingchecks.py.
Command
(Re)generate the user's voice fingerprint from their corpus. Run after adding profile/sample-.md samples.
Command
Draft new content in the user's voice.
Command
Run one full cycle of the self-improvement loop: benchmark the skill's output, run the blind voice test, mine the accumulated evidence for weaknesses, and gate any proposed engine change. The loop's rules live in evals/self-harness-loop.md; this command executes them. Every stage is skippable, but say which stage was…
Command
Set up the user's voice without making them complete a profile before seeing value.