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Decision Log
A strict ADR generator that logs single architecture decisions from source dumps without fluff or hallucinations.
$5
Decision Log
Example session with this skill installed
Log the decision to use Redis for the session store. Context: we need faster reads than Postgres for sessions. Options: Redis vs Memcached. Picked Redis because of persistence. Date: 2023-10-12. Role: Lead Dev.
- Read your context and instructions
- Compiled the decision log
I have drafted the Architecture Decision Record (ADR) based on your notes. The log has been prepared in docs/decisions.md with status ready.
Decision Log: Redis for Session Store
Header
- Decision: Redis for Session Store
- Date: 2023-10-12
- Decided by: Lead Dev
- Status: ready
- Write Mode: draft
Context
The team requires a session storage solution with lower latency than the current PostgreSQL implementation to handle increased concurrent traffic.
Options
| ID | Name | Summary | Source |
|---|---|---|---|
| O1 | Redis | Key-value store with persistence capabilities | buyer paste |
| O2 | Memcached | High-performance distributed memory object caching system | buyer paste |
Decision
- Picked: O1
Statement: Use Redis for the session store to achieve faster reads than Postgres while maintaining session persistence.
- Source: buyer paste
Consequences
- Change: Session data will migrate from Postgres to a dedicated Redis instance.
- Source: derived
Rejected
- O2 (Memcached)
Diff
- New ADR appended to
docs/decisions.md.
Gaps
- (none)
Residual
- mutated: no
- invented: no
Next steps
- Review the generated
docs/decisions.mdfile. - If the draft is accurate, run with
write_mode=applyto update the project wiki. - Notify the infrastructure team regarding the new Redis dependency.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Engineering and ops teams often lose the "why" behind technical choices, leading to repetitive debates or accidental reversals. Traditional ADRs frequently suffer from "architecture astronautics," becoming bloated with diagrams and non-functional requirements that obscure the actual decision.
What it does
- Extracts specific technical context and candidate options from raw developer dumps or notes.
- Enforces a strict requirement for at least two sourced alternatives to ensure a real choice was made.
- Generates dated, role-attributed ADRs in Markdown format without inventing "do-nothing" filler or dates.
- Identifies gaps like contradictions in the source material or attempts to include out-of-scope architectural diagrams.
- Manages a local
decisions.mdlog, appending new records while maintaining a clear audit trail.
Frameworks & tools
This skill is framework-agnostic. It outputs standard GitHub-flavored Markdown for use in docs/ folders, Git repositories, or engineering wikis.
Why this beats prompting it yourself
General-purpose prompts often hallucinate "standard" options like "do nothing" or invent dates and stakeholders to look complete. This skill uses a strict binding and freezing procedure that refuses to invent data, ensuring your logs reflect reality rather than LLM assumptions.
Use cases
- Logging the selection of a specific database or cloud provider from raw meeting notes.
- Documenting infrastructure changes where exactly one choice was made between two specific tools.
- Capturing the rationale for a breaking API change before the context is lost.
Known limitations
Requires an ISO date, a specific decision title, and a defined role. It will block execution if the source material contains only one option or contradictory winners.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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