trace

boshu2/agentops · updated Apr 8, 2026

$npx skills add https://github.com/boshu2/agentops --skill trace
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summary

Quick Ref: Trace design decisions through CASS sessions, handoffs, git, and artifacts. Output: .agents/research/YYYY-MM-DD-trace-*.md

skill.md

Trace Skill

Quick Ref: Trace design decisions through CASS sessions, handoffs, git, and artifacts. Output: .agents/research/YYYY-MM-DD-trace-*.md

YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it.

When to Use

  • Trace HOW architectural decisions evolved
  • Find WHEN a concept was introduced
  • Understand WHY something was designed a certain way
  • Build provenance chain for design decisions

For knowledge artifact lineage (learnings, patterns, tiers), use /provenance instead.

CLI dependencies: cass (session search). If cass is unavailable, skip transcript search and rely on git log, handoff docs, and .agents/ artifacts for decision tracing.

Execution Steps

Given /trace <concept>:

Step 1: Classify Target Type

Determine what kind of provenance to trace:

IF target is a file path (contains "/" or "."):
  → Use /provenance (artifact lineage)

IF target is a git ref (sha, branch, tag):
  → Use git-based tracing (Step 2b)

ELSE (keyword/concept):
  → Use design decision tracing (Step 2a)

Step 2a: Design Decision Tracing (Concepts)

Launch 4 parallel search agents (CASS, Handoff, Git, Research) and wait for all to complete.

Backend: Agents use Task(subagent_type="Explore") which maps to task(subagent_type="explore") in OpenCode. See skills/shared/SKILL.md ("Runtime-Native Spawn Backend Selection") for the shared contract.

Read references/discovery-patterns.md for agent definitions and prompts.

Step 2b: Git-Based Tracing (Commits/Refs)

Read references/discovery-patterns.md for git-based tracing commands.

Step 3: Build Timeline

Merge results from all sources into a single chronological timeline (oldest first). Deduplicate same-day/same-session events. Every claim needs a source citation.

Step 4: Extract Key Decisions

For each event in timeline, identify:

  • What changed: The decision or evolution
  • Why: Reasoning if available
  • Who: Session/author/commit author
  • Evidence: Link to source (session path, file, commit)

Step 5: Write Trace Report

Write to: .agents/research/YYYY-MM-DD-trace-<concept-slug>.md

Read references/report-template.md for the full report format and deduplication rules.

Step 6: Report to User

Tell the user:

  1. Concept traced successfully
  2. Timeline of evolution (key dates)
  3. Most significant decisions
  4. Location of trace report
  5. Related concepts to explore

Handling Edge Cases

Read references/edge-cases.md for handling: no CASS results, no handoffs, ambiguous concepts (>20 results), and all-sources-empty scenarios. General principle: continue with remaining sources and note gaps in the report.

Key Rules

  • Search ALL sources - CASS, handoffs, git, research
  • Build timeline - chronological evolution is the goal
  • Cite evidence - every claim needs a source
  • Handle gaps gracefully - not all concepts are in all sources
  • Write report - trace must produce .agents/research/ artifact

Relationship to /provenance

Skill Purpose Input Output
/provenance Artifact lineage File path Tier/promotion history
/trace Design decisions Concept/keyword Timeline of evolution

Use /provenance for: "Where did this learning come from?" Use /trace for: "How did we decide on this architecture?"

Examples

# Trace a design decision
/trace "three-level architecture"

# Trace a role/concept
/trace "Chiron"

# Trace a pattern
/trace "brownian ratchet"

# Trace a feature
/trace "parallel wave execution"

Tracing an Architectural Decision

User says: /trace "agent team protocol"

What happens:

  1. Agent classifies target as concept (not file path or git ref)
  2. Agent launches 4 parallel agents: CASS search, handoff search, git log search, research artifact search
  3. CASS finds 8 sessions mentioning "agent team", handoff finds 2 docs, git finds 3 commits, research finds 1 analysis
  4. Agent builds chronological timeline from 2026-01-15 (first mention) to 2026-02-08 (latest update)
  5. Agent extracts 5 key decisions: initial SendMessage design, TeamCreate addition, deliberation protocol, in-process mode, delegate mode
  6. Agent writes trace report to .agents/research/2026-02-13-trace-agent-team-protocol.md with full timeline and citations

Result: Complete evolution timeline showing how agent team protocol developed across 7 sessions with source citations.

Tracing from Git Commit

User says: /trace abc1234

What happens:

  1. Agent detects git ref format (short sha)
  2. Agent runs git-based tracing commands to get commit details, changed files, related commits
  3. Agent uses git log --grep to find related work
  4. Agent searches .agents/ for contemporary research/plans
  5. Agent builds timeline focused on that specific change
  6. Agent writes report showing commit context, what changed, why (from commit message and related docs)

Result: Trace report links commit to broader design context from surrounding artifacts.

Troubleshooting

Problem Cause Solution
CASS returns no results Session search not installed or query too specific Check which cass. If missing, skip CASS and rely on handoffs/git/research. Try broader query terms.
Timeline has gaps Not all decisions documented in searchable artifacts Note gaps in report. Suggest interviewing team members or checking Slack/email archives for missing context.
Too many results (>50 matches) Very broad concept or high-frequency term Read references/edge-cases.md for ambiguous concept handling. Narrow query or filter by date range. Ask user for more specific aspect to trace.
Empty trace report (all sources failed) Concept genuinely undocumented or typo Verify spelling. Try synonyms. Report to user: "No documented history found. This may be a new concept or may need different search terms."

Discussion

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general reviews

Ratings

4.540 reviews
  • Naina Thompson· Dec 28, 2024

    trace fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Pratham Ware· Dec 12, 2024

    trace has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Noah Mehta· Dec 12, 2024

    Registry listing for trace matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Naina Garcia· Dec 8, 2024

    Solid pick for teams standardizing on skills: trace is focused, and the summary matches what you get after install.

  • Xiao Taylor· Nov 27, 2024

    trace has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Henry Thompson· Nov 19, 2024

    Registry listing for trace matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Daniel Bansal· Nov 7, 2024

    trace reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sakshi Patil· Nov 3, 2024

    Solid pick for teams standardizing on skills: trace is focused, and the summary matches what you get after install.

  • Olivia Rahman· Nov 3, 2024

    trace fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sofia Desai· Oct 26, 2024

    I recommend trace for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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