tpp

tpp is a skill for Claude Code, Codex from photostructure/coding-skills. It costs 55 tokens per session (701 once invoked), scanned A, original, MIT.

A living Technical Project Plan, or TPP, is a document that records the design, discoveries, decisions, and next steps for a multi-session coding task.

In plain words
What is it for?
Use it to resume the correct phase of a planned feature, follow the project’s instructions, and update the plan with progress and findings.
Why use it?
It prevents developers or agents from having to rediscover the project context when work pauses or changes hands.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

Part of the coding plugin — 11 skills shipped together

Good fit Use it to resume the correct phase of a planned feature, follow the project’s instructions, and update the plan with progress and findings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/photostructure/coding-skills/tpp
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 photostructure/coding-skills --skill tpp
Clone the repo
git clone --depth 1 https://github.com/photostructure/coding-skills

Made for: Claude Code, Codex.

Or install coding, the plugin that ships this one along with the rest of its 11 skills.

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 tpp

README.md
[![agentmods](https://agentmods.dev/badge/skills/photostructure/coding-skills/tpp/github.svg)](https://agentmods.dev/skills/photostructure/coding-skills/tpp)
Your own site
<a href="https://agentmods.dev/skills/photostructure/coding-skills/tpp"><img src="https://agentmods.dev/badge/skills/photostructure/coding-skills/tpp/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 tpp

Your own site · 80×15
<a href="https://agentmods.dev/skills/photostructure/coding-skills/tpp"><img src="https://agentmods.dev/badge/skills/photostructure/coding-skills/tpp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 701 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 $0.00055 $0.00701
Opus 5.5 $0.00022 $0.00280
Sonnet 5.5 $0.00011 $0.00140
Haiku 4.5 $0.00006 $0.00070

Measured 21d ago against content hash 7bb1d5dde4d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tpp 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 21d 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.

plugins/coding/skills/tpp/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Work on TPP

Documented in depth: Claude Code has amnesia. So do PRs, changelogs, and your future self.

A Technical Project Plan (TPP) is a living handoff document: it carries research, design decisions, failed approaches, and next steps across sessions, so the next session (or the next engineer) continues instead of restarting.

Work the referenced TPP to completion: start from its current phase and keep going until every task's acceptance test passes and every box under Current phase is checked.

Required Reading First

Before any work, you MUST read:

  • The project's instructions: AGENTS.md, plus CLAUDE.md when present
  • The project's TPP guide: docs/TPP-GUIDE.md if it exists; otherwise the bundled reference TPP-GUIDE.md

Process

  1. Read the referenced TPP. It will live in _todo/, in a priority folder (_active/, _p1/…_p4/), or in a documented feature integration queue matching _feat-<name>/ if this project uses them.
  2. Identify the current phase from its Next: line and unchecked boxes.
  3. Work through the open tasks and phases without checking in. Put status notes in the same message as your next action.
  4. As each task's acceptance test passes, tick it in the TPP and record discoveries — gotchas, rejected approaches, and the why behind decisions, not a transcript.

Stop and ask the user only when:

  • a decision is open that neither the TPP nor the code settles;
  • the TPP contradicts what you find in the code;
  • the next action deletes data, force-pushes, or changes anything outside the repository.

When context runs low before the work is done, invoke the handoff skill rather than letting the session end silently. When the TPP is complete, move it to _done/.

Adapting for your project

  • Create a project docs/TPP-GUIDE.md (start from the bundled reference) and tailor the layout, frontmatter fields, and template to your conventions — the project guide always takes precedence over the bundled copy.
  • Extend the required reading list with your high-value docs (DESIGN-PRINCIPLES.md, TDD.md, architecture decisions). Every listed file is read on every invocation, so keep it short.
  • Automate durable reminders portably. Put the TPP update requirement in the repository's AGENTS.md, or use a supported project hook or automation that prompts the coding agent to update the active TPP before a task ends.

Read the full file on GitHub · 61 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 21d ago Changed · +10 lines · +8 tokens per session 7bb1d5dde4d2
  2. 1mo ago First seen · 51 lines · 47 tokens per session scan A a8a588207584

Subscribe to this mod's changes

tpp is a skill published in the GitHub repository photostructure/coding-skills (4 stars, last pushed 21d ago), licensed MIT. It adds 55 tokens to every session and 701 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

great_cto

Use when the CTO describes a feature, task, or project goal. Orchestrates the full SDLC pipeline automatically based on project type.

avelikiy/great_cto · 32 tokens

opportunity-solution-tree

Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to customer opportunities, possible solutions, and experiments. Based on Teresa Torres' Continuous Discovery Habits. Use when the team is unclear what to build next, when multiple opportunities compete, or before writing a…

avelikiy/great_cto · 71 tokens

done-blocked

Reusable reporting contract for any agent that hands work back to the pipeline. Forces ONE of two terminal statuses (DONE or BLOCKED) with a specific evidence shape. Stops vague "probably finished" and "kind of stuck" verdicts.

avelikiy/great_cto · 51 tokens

outcome-roadmap

Transform an output-focused roadmap (feature list) into an outcome-focused one. Rewrites initiatives as outcome statements reflecting user and business impact. Use when a roadmap lists features instead of results, when making a roadmap more strategic, or when communicating what success looks like vs what will be built.

avelikiy/great_cto · 62 tokens

pm-planning

Decomposition methodology for pm agent — turns an approved ARCH document into a Beads task list with explicit dependencies, time-boxes, and acceptance criteria. The pipeline can only orchestrate work it can see; this skill defines what "seeable work" looks like.

avelikiy/great_cto · 57 tokens

github-pr-review

Handles PR review comments and feedback resolution. Use when user wants to resolve PR comments, handle review feedback, fix review comments, address PR review, check review status, respond to reviewer, verify PR readiness, review PR comments, analyze review feedback, evaluate PR comments, assess review suggestions, or…

fvadicamo/dev-agent-skills · 95 tokens