msd-core/get-shit-done/workflows/spike-wrap-up.md

Package spike experiment findings into a persistent project skill — an implementation blueprint for future build conversations. Reads from `.planning/spikes/`, writes skill to `./.claude/skills/spike-findings-[project]/` (project-local) and summary to `.planning/spikes/WRAP-UP-SUMMARY.md`. Companion to `/gsd:spike`.

<required_reading> Read all files referenced by the invoking prompt's execution_context before starting. </required_reading>

``` ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ GSD ► SPIKE WRAP-UP ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ``` ## Gather Spike Inventory

1. Read .planning/spikes/MANIFEST.md for the overall idea context and requirements
2. Glob .planning/spikes/*/README.md and parse YAML frontmatter from each
3. Check if ./.claude/skills/spike-findings-*/SKILL.md exists for this project
   • If yes: read its processed_spikes list from the metadata section and filter those out
   • If no: all spikes are candidates

If no unprocessed spikes exist:

No unprocessed spikes found in `.planning/spikes/`.
Run `/gsd:spike` first to create experiments.

Exit.

Check commit_docs config:

_GSD_SHIM_NAME="gsd-tools.cjs"; GSD_TOOLS="${RUNTIME_DIR:-$(git rev-parse --show-toplevel 2>/dev/null || pwd)}/get-shit-done/bin/${_GSD_SHIM_NAME}"; if [ -f "$GSD_TOOLS" ]; then gsd_run() { node "$GSD_TOOLS" "$@"; }; elif command -v gsd-tools >/dev/null 2>&1; then GSD_TOOLS="$(command -v gsd-tools)"; gsd_run() { "$GSD_TOOLS" "$@"; }; else echo "ERROR: gsd-tools.cjs not found at $GSD_TOOLS and gsd-tools is not on PATH. Run: npx -y @opengsd/get-shit-done-redux@latest --claude --local" >&2; exit 1; fi
COMMIT_DOCS=$(gsd_run query config-get commit_docs 2>/dev/null || echo "true")

## Auto-Include All Spikes

Include all unprocessed spikes automatically. Present a brief inventory showing what's being processed:

Processing N spikes:
  001 — name (VALIDATED)
  002 — name (PARTIAL)
  003 — name (INVALIDATED)

Every spike carries forward:

• VALIDATED spikes provide proven patterns
• PARTIAL spikes provide constrained patterns
• INVALIDATED spikes provide landmines and dead ends

## Auto-Group by Feature Area

Group spikes by feature area based on tags, names, related fields, and content. Proceed directly into synthesis.

Each group becomes one reference file in the generated skill.

## Determine Output Skill Name

Derive the skill name from the project directory:

1. Get the project root directory name (e.g., solana-tracker)
2. The skill will be created at ./.claude/skills/spike-findings-[project-dir-name]/

If a skill already exists at that path (append mode), update in place.

## Copy Source Files

For each included spike:

1. Identify the core source files — the actual scripts, main files, and config that make the spike work. Exclude:
   • node_modules/, __pycache__/, .venv/, build artifacts
   • Lock files (package-lock.json, yarn.lock, etc.)
   • .git/, .DS_Store
2. Copy the README.md and core source files into sources/NNN-spike-name/ inside the generated skill directory

## Synthesize Reference Files

For each feature-area group, write a reference file at references/[feature-area-name].md as an implementation blueprint — it should read like a recipe, not a research paper. A future build session should be able to follow this and build the feature correctly without re-spiking anything.

# [Feature Area Name]

## Requirements

[Non-negotiable design decisions from MANIFEST.md Requirements section that apply to this feature area. These MUST be honored in the real build. E.g., "Must use streaming JSON output", "Must support reconnection".]

## How to Build It

[Step-by-step: what to install, how to configure, what code pattern to use. Include key code snippets extracted from the spike source. This is the proven approach — not theory, but tested and working code.]

## What to Avoid

[Things that look right but aren't. Gotchas. Anti-patterns discovered during spiking. Dead ends that were tried and failed.]

## Constraints

[Hard facts: rate limits, library limitations, version requirements, incompatibilities]

## Origin

Synthesized from spikes: NNN, NNN, NNN
Source files available in: sources/NNN-spike-name/, sources/NNN-spike-name/

## Write SKILL.md

Create (or update) the generated skill's SKILL.md:

---
name: spike-findings-[project-dir-name]
description: Implementation blueprint from spike experiments. Requirements, proven patterns, and verified knowledge for building [project-dir-name]. Auto-loaded during implementation work.
---

<context>
## Project: [project-dir-name]

[One paragraph from MANIFEST.md describing the overall idea]

Spike sessions wrapped: [date(s)]
</context>

<requirements>
## Requirements

[Copied directly from MANIFEST.md Requirements section. These are non-negotiable design decisions that emerged from the user's choices during spiking. Every feature area reference must honor these.]

- [requirement 1]
- [requirement 2]
</requirements>

<findings_index>
## Feature Areas

| Area | Reference | Key Finding |
|------|-----------|-------------|
| [Name] | references/[name].md | [One-line summary] |

## Source Files

Original spike source files are preserved in `sources/` for complete reference.
</findings_index>

<metadata>
## Processed Spikes

[List of spike numbers wrapped up]

- 001-spike-name
- 002-spike-name
</metadata>

## Write Planning Summary

Write .planning/spikes/WRAP-UP-SUMMARY.md for project history:

# Spike Wrap-Up Summary

**Date:** [date]
**Spikes processed:** [count]
**Feature areas:** [list]
**Skill output:** `./.claude/skills/spike-findings-[project]/`

## Processed Spikes
| # | Name | Type | Verdict | Feature Area |
|---|------|------|---------|--------------|

## Key Findings
[consolidated findings summary]

## Update Project CLAUDE.md

Add an auto-load routing line to the project's CLAUDE.md (create the file if it doesn't exist):

- **Spike findings for [project]** (implementation patterns, constraints, gotchas) → `Skill("spike-findings-[project-dir-name]")`

If this routing line already exists (append mode), leave it as-is.

## Generate or Update CONVENTIONS.md

Analyze all processed spikes for recurring patterns and write .planning/spikes/CONVENTIONS.md. This file tells future spike sessions how we spike — the stack, structure, and patterns that have been established.

1. Read all spike source code and READMEs looking for:

   • Stack choices — What language/framework/runtime appears across multiple spikes?
   • Structure patterns — Common file layouts, port numbers, naming schemes
   • Recurring approaches — How auth is handled, how styling is done, how data is served
   • Tools & libraries — Packages that showed up repeatedly with versions that worked

2. Write or update .planning/spikes/CONVENTIONS.md:

# Spike Conventions

Patterns and stack choices established across spike sessions. New spikes follow these unless the question requires otherwise.

## Stack
[What we use for frontend, backend, scripts, and why — derived from what repeated across spikes]

## Structure
[Common file layouts, port assignments, naming patterns]

## Patterns
[Recurring approaches: how we handle auth, how we style, how we serve, etc.]

## Tools & Libraries
[Preferred packages with versions that worked, and any to avoid]

3. Only include patterns that appeared in 2+ spikes or were explicitly chosen by the user.

4. If CONVENTIONS.md already exists (append mode), update sections with new patterns. Remove entries contradicted by newer spikes.

Commit all artifacts (if `COMMIT_DOCS` is true):

gsd_run query commit "docs(spike-wrap-up): package [N] spike findings into project skill" --files .planning/spikes/WRAP-UP-SUMMARY.md .planning/spikes/CONVENTIONS.md

``` ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ GSD ► SPIKE WRAP-UP COMPLETE ✓ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Processed: {N} spikes Feature areas: {list} Skill: ./.claude/skills/spike-findings-[project]/ Conventions: .planning/spikes/CONVENTIONS.md Summary: .planning/spikes/WRAP-UP-SUMMARY.md CLAUDE.md: routing line added

The spike-findings skill will auto-load in future build conversations.

</step>

<step name="whats_next">
## What's Next

After the summary, present next-step options:

───────────────────────────────────────────────────────────────

## ▶ Next Up

**Explore frontier spikes** — see what else is worth spiking based on what we've learned

`/gsd:spike` (run with no argument — its frontier mode analyzes the spike landscape and proposes integration and frontier spikes)

───────────────────────────────────────────────────────────────

**Also available:**
- `/gsd:plan-phase` — start planning the real implementation
- `/gsd:spike [idea]` — spike a specific new idea
- `/gsd:explore` — continue exploring
- Other

───────────────────────────────────────────────────────────────
</step>

</process>

<success_criteria>
- [ ] All unprocessed spikes auto-included and processed
- [ ] Spikes grouped by feature area
- [ ] Spike-findings skill exists at `./.claude/skills/` with SKILL.md (including requirements), references/, sources/
- [ ] Reference files are implementation blueprints with Requirements, How to Build It, What to Avoid, Constraints
- [ ] `.planning/spikes/CONVENTIONS.md` created or updated with recurring stack/structure/pattern choices
- [ ] `.planning/spikes/WRAP-UP-SUMMARY.md` written for project history
- [ ] Project CLAUDE.md has auto-load routing line
- [ ] Summary presented
- [ ] Next-step options presented (including frontier spike exploration via `/gsd:spike`)
</success_criteria>