feature-workflow

A workflow for planning complex software features before splitting them into pull requests (PRs), which are proposed code changes for review. It uses a temporary build to learn the design, writes the agreed behavior down, then divides the work at clear boundaries.

In plain words
What is it for?
Use it when a feature affects several lifecycle objects or a public interface, or when reviews keep forcing interface changes. It helps organize exploratory work, shared contract tests, and smaller PRs.
Why use it?
It keeps design changes out of repeated PR reviews, reducing the need to reshape later PRs after earlier feedback. It also makes behavior, resource ownership, failures, and threading rules explicit.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/apache/tika/feature-workflow
Any agent
npx skills add apache/tika --skill feature-workflow
Clone the repo
git clone --depth 1 https://github.com/apache/tika

Made for: Claude Code, Codex.

Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 780 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00077 $0.00780
Opus 5 $0.00039 $0.00390
Sonnet 5 $0.00015 $0.00156
Haiku 4.5 $0.00008 $0.00078

Measured 2d ago against content hash 60f0be4301e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

feature-workflow 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 2d 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.

.skills/devs/feature-workflow/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Local override: $TIKA_SKILLS_LOCAL/feature-workflow/LOCAL.md (default ~/.tika-skills), read after this file, wins on conflict.

Feature Workflow: spike, contract, cut, ship

A complex feature's shape is learned by building it. Learning it on the PR costs a review round per lesson and reshapes what the next round reviews. Keep learning and shipping on different branches.

1. Spike

Throwaway branch. Build end to end, roughly: no CHANGES, docs, or polish; change neighbors freely. Review it (.skills/devs/pr-review/SKILL.md) and let findings reshape interfaces.

Exit: the last review changed edge-case handling, not an interface. While reviews still rename, split, or add methods, keep spiking (pr-review verdict "still spiking").

2. Contract

Write down what the spike taught, half a page per lifecycle object (open/close, acquire/release, publish/abort, spill, rewind): states and transitions, each method's behavior per state, resource ownership on success and every failure path, threading. Put it in the type's javadoc.

Encode it as an Abstract<Type>ContractTest every implementation extends: close twice, abort then close, write after close, throw mid-write then close, resources released on both paths. This is what makes review converge.

Read the full file on GitHub · 80 lines

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. 2d ago First seen · 80 lines · 77 tokens per session scan A 60f0be4301e3

Subscribe to this mod's changes

feature-workflow is a skill published in the GitHub repository apache/tika (4,018 stars, last pushed 2d ago), licensed Apache-2.0. It adds 77 tokens to every session and 780 once invoked, about $0.0004 per session on Opus 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 2026-08-30.

Related

Other skills, from other repositories