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Sprint Status

CommunityPopular
rohitg00
sprint-status

Track parallel work sessions and prevent confusion across multiple Claude Code instances. Every major step ends with a status line. Every question re-states project, branch, and task.

Overview

Publisherrohitg00
Repositorypro-workflow
Skill namesprint-status
Stars
2.9K
Forks
286
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Sprint Status AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rohitg00/pro-workflow.git /tmp/pro-workflow
mkdir -p .claude/skills
cp -r /tmp/pro-workflow/skills/sprint-status .claude/skills/sprint-status
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sprint Status in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sprint Status on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sprint Status is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Sprint Status

When running multiple Claude Code sessions in parallel, confusion is the enemy. This skill ensures every session identifies itself and every step reports its state.

Session Identification

Every response that involves a decision, plan, or significant action starts with orientation:

text
SESSION: my-app | branch: feat/auth | task: Add JWT refresh tokens

This takes one line. It costs almost nothing. It prevents the user from applying feedback to the wrong session.

Detecting Parallel Sessions

Check for sibling Claude Code processes:

bash
pgrep -af "claude" | grep -v "$$" | head -5

Or check for active worktrees:

bash
git worktree list 2>/dev/null

Or look for session markers (written by session-start.js / session-end.js):

bash
ls $TMPDIR/pro-workflow/sessions/ 2>/dev/null | tail -5

If multiple sessions are detected, always include the session identification header. If only one session is running, include it at task boundaries and before presenting options.

Status Lines

End every major step with exactly one status line. No ambiguity.

STATUS: COMPLETE

All work for the current step is done. Ready to commit, merge, or move to the next task.

text
STATUS: COMPLETE
  Changed: src/auth/refresh.ts, src/auth/refresh.test.ts
  Tests: 14 pass, 0 fail
  Ready to commit.

STATUS: COMPLETE_WITH_NOTES

Done, but flagging something the user should know about.

text
STATUS: COMPLETE_WITH_NOTES
  Changed: src/api/upload.ts
  Tests: 8 pass, 0 fail
  Notes:
    - Upload size limit is hardcoded to 10MB, should be configurable
    - No rate limiting on this endpoint yet (separate task)

Notes are for things that work but could be better. Not blockers — observations.

STATUS: BLOCKED

Cannot proceed without user input or an external dependency.

text
STATUS: BLOCKED
  Blocker: Need database migration approved before writing the ORM layer
  Waiting on: DBA approval for schema change in migrations/0042_add_tokens.sql
  Can continue: Nothing else in this task until unblocked

STATUS: NEEDS_INFO

Missing context to make a good decision. Asking before guessing.

text
STATUS: NEEDS_INFO
  Question: Should refresh tokens expire after 7 days or 30 days?
  Impact: Changes token cleanup job schedule and storage requirements
  Default if no preference: 7 days (more secure, standard practice)

Always provide a sensible default so the user can say "go with the default" without context-switching into the decision.

Parallel Session Patterns

Pattern 1: Feature + Tests

text
Session 1: feat/auth       → implementing JWT refresh
Session 2: feat/auth-tests → writing test suite for auth module

Both sessions work on the same feature but don't touch the same files. Session 2 can start writing tests against the interface before Session 1 finishes the implementation.

Pattern 2: Independent Features

text
Session 1: feat/upload     → file upload endpoint
Session 2: feat/billing    → billing webhook handler
Session 3: fix/login-bug   → login redirect fix

Completely independent. Merge order doesn't matter.

Pattern 3: Stacked Changes

text
Session 1: feat/base-types → shared type definitions (must merge first)
Session 2: feat/api        → API layer (depends on Session 1)
Session 3: feat/ui         → UI layer (depends on Session 1)

Session 1 merges first. Sessions 2 and 3 rebase after. Flag the dependency in every status update.

When to Report Status

EventInclude Status?
File edit completedNo (too granular)
Test suite runYes, if pass/fail changed
Phase completed (research, plan, implement)Yes
Presenting options to userYes (with session header)
Hitting a blockerYes, immediately
Before asking a questionYes (NEEDS_INFO)
After committingYes (COMPLETE)
End of sessionYes (final status)

Sprint Dashboard

When the user asks for status across sessions, compile a sprint view:

text
SPRINT STATUS
  Session 1: feat/auth       STATUS: COMPLETE         (ready to merge)
  Session 2: feat/upload     STATUS: BLOCKED          (waiting on S3 creds)
  Session 3: fix/login-bug   STATUS: COMPLETE_WITH_NOTES (works, needs perf review)

Anti-Patterns

  • Skipping the session header when multiple sessions are active
  • Using STATUS: COMPLETE when there are known issues (use COMPLETE_WITH_NOTES)
  • Burying the status line in a paragraph (put it on its own line, at the end)
  • Reporting status after every single edit (only at meaningful boundaries)
  • Not providing a default with NEEDS_INFO (forces the user to context-switch fully)
  • Saying "almost done" or "mostly working" instead of a concrete status

Add to CLAUDE.md

markdown
## Sprint Status

Every decision and plan starts with: SESSION: project | branch | task
End major steps with STATUS: COMPLETE | COMPLETE_WITH_NOTES | BLOCKED | NEEDS_INFO
NEEDS_INFO always includes a sensible default.
When parallel sessions are detected, always include session headers.

Frequently asked questions

What does the Sprint Status AI skill do?

Track parallel work sessions and prevent confusion across multiple Claude Code instances. Every major step ends with a status line. Every question re-states project, branch, and task.

Why use Sprint Status on TypingMind?

Because you install it once and use it with any model. Sprint Status is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sprint Status in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/pro-workflow/tree/main/skills/sprint-status. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sprint Status?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sprint Status?

As many as you like. As long as a model supports skills, you can use Sprint Status with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sprint Status AI skill free?

It is published on GitHub by rohitg00. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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