start-feature

start-feature is a skill for Claude Code from zahardev/aicontext. It costs 41 tokens per session (61 once invoked), scanned A, original, MIT.

A guided process for starting a new software feature. It examines the codebase, asks discovery questions one at a time, recommends choices, and creates a specification and task file.

In plain words
What is it for?
Use it to investigate an existing project, clarify feature decisions, and prepare the files needed to implement the feature.
Why use it?
It helps turn an early feature idea into an agreed plan before coding begins. This reduces missed requirements and unclear implementation decisions.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to investigate an existing project, clarify feature decisions, and prepare the files needed to implement the feature.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zahardev/aicontext/start-feature
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zahardev/aicontext --skill start-feature
Clone the repo
git clone --depth 1 https://github.com/zahardev/aicontext

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for start-feature

README.md
[![agentmods](https://agentmods.dev/badge/skills/zahardev/aicontext/start-feature/github.svg)](https://agentmods.dev/skills/zahardev/aicontext/start-feature)
Your own site
<a href="https://agentmods.dev/skills/zahardev/aicontext/start-feature"><img src="https://agentmods.dev/badge/skills/zahardev/aicontext/start-feature/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for start-feature

Your own site · 80×15
<a href="https://agentmods.dev/skills/zahardev/aicontext/start-feature"><img src="https://agentmods.dev/badge/skills/zahardev/aicontext/start-feature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 61 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00061
Opus 5.5 $0.00016 $0.00024
Sonnet 5.5 $0.00008 $0.00012
Haiku 4.5 $0.00004 $0.00006

Measured 1mo ago against content hash d4eb744b8758, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

start-feature scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/start-feature/SKILL.md · 7 lines

What it actually says

Read and follow .aicontext/prompts/start-feature.md

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 7 lines · 41 tokens per session scan A d4eb744b8758

Subscribe to this mod's changes

start-feature is a skill published in the GitHub repository zahardev/aicontext (2 stars, last pushed 26d ago), licensed MIT. It adds 41 tokens to every session and 61 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

writing-tests

Write unit tests, component tests, and integration tests for AiderDesk using Vitest and React Testing Library. Use when creating new tests, adding test coverage, configuring mocks, setting up test files, or debugging failing tests.

hotovo/aider-desk · 48 tokens

work-summary

Generates a project dashboard from MCP work items. Default is a lean, attention-first view: what's in flight, what's blocked, what to do next, what's queued. Use when the user says: project status, what's active, show me the dashboard, work summary, what should I work on, project health, what's blocked, where did I…

jpicklyk/task-orchestrator · 110 tokens

manage-schemas

Creates, views, edits, deletes, and validates note schemas for the MCP Task Orchestrator in .taskorchestrator/config.yaml — the templates that define which notes agents must fill at each workflow phase. Also recommends schema designs from a library of workflow patterns (autonomous coding loops, spec-driven teams…

jpicklyk/task-orchestrator · 174 tokens

eval-agents

Audit custom subagent definitions for Claude Code (.claude/agents/.md) and Codex (.codex/agents/.toml): loadability against the native schema, description overlap, model tier, tool scope, and headless-safe instructions. Use when onboarding to a project with agents, after adding or importing agents, or when the parent…

FlorianBruniaux/claude-code-ultimate-guide · 80 tokens

land-and-deploy

Merge PR, wait for CI, verify deploy, run canary. The complete landing pipeline.

FlorianBruniaux/claude-code-ultimate-guide · 24 tokens

git-ai-archaeology

Analyze AI config evolution in a git repo. Use when mapping AI adoption history, finding when configs were first introduced, charting commit velocity by month, or identifying maturity phases in a project's AI tooling.

FlorianBruniaux/claude-code-ultimate-guide · 47 tokens