# Decision Log > Reconstructs a chronological log of every significant decision made across project email threads — what was decided, who decided it, when, and what alternatives were considered. Use when a project manager or team needs a decision audit trail or wants to understand how the project got to its current state. Triggers on "decision log", "what decisions were made", "decision history", "who decided", "… - **Type:** Skill - **Install:** `agentstack add skill-igptai-skills-decision-log` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [igptai](https://agentstack.voostack.com/s/igptai) - **Installs:** 0 - **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [igptai](https://github.com/igptai) - **Source:** https://github.com/igptai/skills/tree/main/plugins/igpt-projects/skills/decision-log - **Website:** https://www.igpt.ai ## Install ```sh agentstack add skill-igptai-skills-decision-log ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Decision Log ## Prerequisites This skill needs the iGPT MCP at https://mcp.igpt.ai/. If the MCP tools aren't available or return an auth error, tell the user to install the iGPT plugin (`/plugin marketplace add igptai/skills`) or add https://mcp.igpt.ai/ as a connector, then complete OAuth and say "ready". Retry once after they confirm. Never invent tokens or OAuth URLs. For deeper troubleshooting: https://raw.githubusercontent.com/igptai/skills/main/shared/mcp-guard.md --- ## What This Skill Does Traces all significant decisions made in project email threads and assembles them into a chronological decision log — what was decided, by whom, when, what alternatives were considered, and any conditions or caveats attached. --- ## Workflow 1. Before calling any tool, collect these values from the user. Offer the defaults and let the user override them; do not invent values they did not give. - [time_range] — what window of email to scan. The user may give this in any form ("last 90 days", "the last 3 months", "May 2024", "since the kickoff"). Default: the last 90 days. Keep the user's natural phrasing for use in the ask input; convert to ISO dates separately for the search call. - [project_scope] — either "all" (default) or the name or topic of a specific project to focus on. - [project_clause] — derived. When [project_scope] is not "all", set to " related to [project_scope]". When [project_scope] is "all", set to empty string. 2. Call search with: - query: decided agreed going with chosen approved decided on (if [project_scope] is not "all", append the project name to the query) - date_from: ISO start date derived from [time_range] - date_to: ISO end date derived from [time_range] (or today if open-ended) 3. Call ask with: - input: Review all email threads from [time_range][project_clause]. Identify every significant decision that was made — explicit choices, direction changes, scope decisions, technical choices, vendor selections, and any other point where a clear direction was established. For each decision record: what was decided, who made the decision, when, what alternatives were considered if mentioned, and any conditions or caveats attached to the decision. - output_format: { "strict": true, "schema": { "type": "object", "description": "Chronological decision log for a project extracted from email history", "additionalProperties": false, "properties": { "project": { "type": "string", "description": "Name or description of the project" }, "period_from": { "type": "string", "description": "ISO8601 start date of the period covered" }, "period_to": { "type": "string", "description": "ISO8601 end date of the period covered" }, "decisions": { "type": "array", "description": "Chronological list of every significant decision found in email", "items": { "type": "object", "description": "A single project decision with full context", "additionalProperties": false, "properties": { "decision": { "type": "string", "description": "Clear statement of what was decided" }, "decision_type": { "type": "string", "description": "Category of decision", "enum": [ "scope", "technical", "vendor_selection", "timeline", "budget", "resource", "process", "direction_change", "other" ] }, "decided_by": { "type": "string", "description": "Name or role of the person who made or ratified this decision" }, "date": { "type": "string", "description": "ISO8601 date the decision was made" }, "alternatives_considered": { "type": "array", "description": "Other options that were discussed before this decision was made", "items": { "type": "string", "description": "A single alternative that was considered" } }, "rationale": { "type": "string", "description": "The reason given for this decision if stated in email, empty string if not mentioned" }, "conditions_or_caveats": { "type": "string", "description": "Any conditions, assumptions, or caveats attached to this decision, empty string if none" }, "evidence": { "type": "string", "description": "Quote or paraphrase from email that documents this decision" } }, "required": [ "decision", "decision_type", "decided_by", "date", "alternatives_considered", "rationale", "conditions_or_caveats", "evidence" ] } }, "total_decisions": { "type": "number", "description": "Total number of decisions logged" }, "summary": { "type": "string", "description": "One or two sentence summary of the decision history and any notable patterns" } }, "required": [ "project", "period_from", "period_to", "decisions", "total_decisions", "summary" ] } } 4. Present as a numbered chronological log. Lead with total count and a one-line summary of the decision landscape. 5. Ask: "Would you like me to export this as a formatted decision log document?" ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [igptai](https://github.com/igptai) - **Source:** [igptai/skills](https://github.com/igptai/skills) - **License:** MIT - **Homepage:** https://www.igpt.ai Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-igptai-skills-decision-log - Seller: https://agentstack.voostack.com/s/igptai - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.