Documents the results of a completed technical or design spike, capturing the original question, approach, evidence-backed findings, and a clear proceed-or-not recommendation so the team does not re-litigate the exploration. Use once a time-boxed investigation has concluded. For the architecture decision the spike informs, use develop-adr instead; for research-based exploration, use discover-interview-synthesis.
npx skills add https://github.com/product-on-purpose/pm-skills --skill develop-spike-summary
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
A spike summary documents the results of a time-boxed exploration - a focused investigation to reduce uncertainty before committing to implementation. Spikes answer specific questions like "Can we integrate with this API?" or "Is this technology viable for our use case?" The summary captures findings so the team can make informed decisions without the spike participants needing to repeat explanations.
develop-adr; the spike informs, the ADR decidesdiscover-interview-synthesisdevelop-solution-briefWhen asked to document a spike, follow these steps:
Articulate the specific question the spike was designed to answer. Good spike questions are focused and answerable with the time-box available. If the question evolved during the spike, document both the original and final versions.
Document the time allocated (e.g., 3 days) and actual time spent. If the spike exceeded its time-box, explain why and note any remaining work.
Explain what was tried, in what order, and why. This helps future readers understand the methodology and whether alternative approaches were considered.
Document what was learned, supported by concrete evidence - code samples, performance benchmarks, screenshots, or API responses. Distinguish between verified findings and hypotheses that need more testing.
Answer the original question directly: proceed, do not proceed, or proceed with conditions. Avoid hedging - the team needs actionable guidance.
Link to any code, prototypes, diagrams, or documentation created during the spike. These artifacts often have ongoing value beyond the summary.
Note what the spike didn't answer and what additional investigation might be needed.
Use the template in references/TEMPLATE.md to structure the output. A complete spike summary fills every template section: Overview; Background; Approach; Findings; Recommendation; Artifacts; Open Questions; and Follow-up Items.
Before finalizing, verify:
See references/EXAMPLE.md for a completed example.
Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.
Automatically convert Confluence specification documents into structured Jira backlogs with Epics and implementation tickets. When an agent needs to: (1) Create Jira tickets from a Confluence page, (2) Generate a backlog from a specification, (3) Break down a spec into implementation tasks, or (4) Convert requirements into Jira issues. Handles reading Confluence pages, analyzing specifications, creating Epics with proper structure, and generating detailed implementation tickets linked to the Epic.
Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.
Guidelines for clinical decision support (CDS) documents: biomarker-stratified cohort analyses and GRADE-graded treatment reports. Covers structure, executive summaries, evidence grading (1A–2C), stats (HR, CI, survival), and biomarker integration. Use for pharma research docs, clinical guidelines, regulatory submissions.
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
Guides through Trail of Bits' 5-step secure development workflow. Runs Slither scans, checks special features (upgradeability/ERC conformance/token integration), generates visual security diagrams, helps document security properties for fuzzing/verification, and reviews manual security areas.
Document architecture decisions with ADR (Architecture Decision Records). Use when making significant technical decisions, choosing between alternatives, or when onboarding needs context on past decisions.
Plan-approval workflow patterns for user control over AI actions in Claude Code Waypoint Plugin. Use when planning complex changes, need user approval before execution, want to prevent mistakes, or need to document proposed changes. Covers plan creation, approval checkpoints, plan deviation tracking, revision management, and learning from approved/rejected plans.
Take product-on-purpose/develop-spike-summary from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.