git-history-interval-study
Incrementally studies git history across tagged or pattern-matched intervals (e.g., creation of planning artifacts like EXECUTION_PLAN_N.md, release tags, or…
Skill by Andrew G. Brown (https://github.com/brownag)
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/andrewbrown-usda-git-history-interval-study
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Node.js package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/git-history-interval-study
What's inside
- Skill name
git-history-interval-study- Description
- Incrementally studies git history across tagged or pattern-matched intervals (e.g., creation of planning artifacts like EXECUTION_PLAN_N.md, release tags, or milestone commits). Extracts commit diffs, file churn, and subsystem shifts to track feature evolution and architectural convergence, providing structured feeds for ADR distillation.
- License
- MIT
- Metadata
- author: Andrew G. Brown (https://github.com/brownag) · version: 1 · source_path: skills/git-history-interval-study/SKILL.md · source_repo: aigb-skills
- Instructions
- 152 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (3)
- SKILL.md
- interval_ledger-test.js · scripts/
- interval_ledger.js · scripts/
SKILL.md (first lines)
# Git History Interval Study
Provides a structured mechanism for studying repository history between marked intervals of interest - such as when new orchestration plans (`planning/EXECUTION_PLAN_N.md`), tags, or architectural milestones are created.
By systematically inspecting sequential diffs, commit classifications, and component churn between intervals, this skill identifies features as they develop and are refined over time, gauges architectural convergence, and provides evidence matrices for downstream skills like `adr-distillation`.
---
## 1. When to Use This Skill
- **Wave / Plan Transitions**: When tracking architectural changes between successive wave orchestration plans (`EXECUTION_PLAN_1.md` -> `EXECUTION_PLAN_2.md` -> etc.).
- **Milestone & Release Evolution**: When analyzing code churn and feature development across Git tags or release branches.
- **Architectural Decision Synthesis**: When providing structured, evidence-backed input to `adr-distillation` to document why design decisions were made and how components stabilized.
- **Subsystem & Interface Stabilization**: When checking if a module has converged (diminishing churn, test stabilization) or remains volatile.
---
## 2. Core Concepts & Interval Math
An **Interval** is a revision slice bounded by two milestone commits: $I_k = [C_{k-1}, C_k]$.
### Revision Range Plumbing
- **Sequential Revision Range (`A..B`)**: Evaluates all commits reachable from $B$ excluding those reachable from $A$ (`^A B`).
- **Topological Ordering (`--topo-order`)**: Ensures parent commits precede children regardless of commit author timestamps across concurrent branches.
- **First-Parent Traversal (`--first-parent`)**: Useful for trunk-based repositories with merge commits, treating each merge as an atomic interval step.
- **Rename Detection (`-M`)**: Resolves file renames and structural moves so code churn reflects genuine edits rather than deletions + additions.
---
## 3. Workflow Phases
```mermaid
sequenceDiagram
autonumber
actor Orchestrator as Orchestrator / User
participant Skill as git-history-interval-study
participant Git as Git Engine
participant Output as Artifact Store / ADR Feed
Orchestrator->>Skill: Request study (strategy, pattern/range)
Skill->>Git: Detect boundary commits (e.g. planning/EXECUTION_PLAN_*.md)
Git-->>Skill: Return ordered boundaries [C_0, C_1, ..., C_n]
loop For each interval (C_{k-1}..C_k)
Skill->>Git: git log --topo-order, git diff --shortstat, --name-status -M
Git-->>Skill: Commits, churn stats, status flags
Skill->>Skill: Classify commits, calculate module churn, assess convergence
end
Skill->>Output: Write interval-ledger.json & evolution-digest.md
opt ADR Distillation
Skill->>Output: Pass candidate architecture decisions & commit evidence
end
```
### Phase 1: Boundary Resolution
Select a boundary strategy based on the repository structure:
1. **Strategy A (Artifact Creation - e.g. Planning Files)**: Finds commits where key tracking or plan files were added:
```bash
git log --diff-filter=A --format="%H|%as|%s" -- "planning/EXECUTION_PLAN_*.md" | sort -t'|' -k2
```
2. **Strategy B (Version Tags)**: Extracts chronological tags:
```bash
git tag --sort=creatordate
```
3. **Strategy C (Mainline Merges / PRs)**: Identifies merge commits on the primary branch:
```bash
git log --first-parent --merges --format="%H|%as|%s"
```
Select this strategy explicitly with `--mainline`. It is mutually exclusive
with `--pattern`, `--range`, and `--tags`; merge commits are ordered
chronologically to form adjacent interval boundaries. If the first-parent
history has no merge commits, the strategy falls back to the repository root
and `HEAD`. If it has one merge commit, the root, merge, and `HEAD` are used.
This guarantees deterministic intervals without requiring two merges.
4. **Strategy D (Explicit Revisions)**: Accepts user-specified commit SHAs or branch ranges (e.g. `v0.1.0..v0.2.0`).
All value-taking options (`--pattern`, `--range`, and `--out`) require a value;
unknown options fail explicitly. Boundary strategies are mutually exclusive.
### Phase 2: Quantitative Interval Extraction
For each adjacent pair $[C_{k-1}, C_k]$:
1. **Commit Log Extraction**:
```bash
git log --topo-order --reverse --format="%h|%an|%as|%s" C_{k-1}..C_k
```
2. **High-Level Churn Metrics**:
```bash
git diff --shortstat C_{k-1} C_k
```
3. **File-Level Status with Rename Tracking**:
```bash
git diff --name-status -M C_{k-1} C_k
```
4. **Subsystem Directory Aggregation**: Aggregate line churn by module directory (`skills/`, `src/`, `scripts/`, `docs/`, `planning/`).
### Phase 3: Qualitative Analysis & Convergence Tracking
1. **Commit Type Breakdown**: Classify commit messages using Conventional Commits (`feat`, `fix`, `refactor`, `test`, `docs`, `chore`, `perf`).
2. **Convergence Heuristic**:
- **Volatile / Divergent**: High addition/deletion churn ($C_i = L_{add} + L_{del}$), frequent changes to interfaces and public signatures, high ratio of `feat` and `refactor` commits.
- **Stabilizing / Converging**: Diminishing churn over intervals, stable API boundaries, transition to `test`, `fix`, and `docs` commits.
3. **Pickaxe Symbol Tracking (`git log -S`)**: Verify when specific classes, functions, or architectural patterns were added or adapted across intervals:
```bash
git log -S "<symbol-name>" -p C_{k-1}..C_k
```
### Phase 4: Output Synthesis & Downstream Handoff
Emit two structured outputs:
1. **`interval-ledger.json`**: Machine-readable JSON with top-level `strategy`,
ordered `boundaries`, aggregate `summary`, `subsystem`, and `convergence`
fields, plus the detailed `intervals` array. Each interval retains boundary
triggers, commits, metrics, file statuses (including rename/copy `path` and
`oldPath`), subsystem changes, and convergence classification.
2. **`evolution-digest.md`**: Markdown narrative document summarizing:From AndrewBrown-USDA/aigb-skills-usda, MIT.
More from AndrewBrown-USDA/aigb-skills-usda
- 0.629score
agent-onboarding
Andrew G. Brown (https://github.com/brownag)
Create and maintain AGENTS.md files for project onboarding and grounding.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
arcpy-migration
Andrew G. Brown (https://github.com/brownag)
Migrates ArcPy and ArcGIS Pro workflows to explicit, testable open-source Python geospatial workflows.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
dr-lexus
Andrew G. Brown (https://github.com/brownag)
Plain language directive.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
install-skills
Andrew G. Brown (https://github.com/brownag)
Installs skills from aigb-skills into a coding agent's skill directory.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
makefile-development-workflow
Andrew G. Brown (https://github.com/brownag)
Standardizes Makefile-based build and test workflows with reproducible targets.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
performance-benchmarking
Andrew G. Brown (https://github.com/brownag)
Design and run reproducible benchmarks.
SkillAFreshness: A★ 7Claude Code +9 - 0.624score
deep-investigative-research
Andrew G. Brown (https://github.com/brownag)
Comprehensive investigation of complex multi-domain narratives (technology, theology, policy, finance).
SkillAFreshness: A★ 7Claude Code +9 - 0.624score
doc-consistency
Andrew G. Brown (https://github.com/brownag)
Normalizes documentation and examples for consistency in style, format, and accuracy.
SkillAFreshness: A★ 7Claude Code +9 - 0.624score
conventional-commits
Andrew G. Brown (https://github.com/brownag)
Create, classify, validate, and explain commit messages using Conventional Commits v1.0.0, with repository-aware type, scope, footer, and breaking-change…
SkillAFreshness: A★ 7Claude Code +9 - 0.624score
copilot-history-briefing
Andrew G. Brown (https://github.com/brownag)
Reads Copilot conversation history and extracts executive-ready success stories.
SkillAFreshness: A★ 7Claude Code +9 - 0.623score
json-processing-with-jq
Andrew G. Brown (https://github.com/brownag)
Processes JSON on the command line with jq.
SkillAFreshness: A★ 7Claude Code +9 - 0.621score
goal-alignment
Andrew G. Brown (https://github.com/brownag)
Evaluate whether goals, outcomes, requirements, tasks, acceptance evidence, and diffs are aligned, measurable, and within scope.
SkillAFreshness: A★ 7Claude Code +9
Signals
- Stars
- 7
- Forks
- 4
- Open issues
- 1
- Last commit (this folder)
- Oct 14, 2026 (14 days ago)
- Last release
- Oct 23, 2026 (5 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Andrew G. Brown (https://github.com/brownag)
- 0.629score
dr-lexus
Andrew G. Brown (https://github.com/brownag)
Plain language directive.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
makefile-development-workflow
Andrew G. Brown (https://github.com/brownag)
Standardizes Makefile-based build and test workflows with reproducible targets.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
agent-onboarding
Andrew G. Brown (https://github.com/brownag)
Create and maintain AGENTS.md files for project onboarding and grounding.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
arcpy-migration
Andrew G. Brown (https://github.com/brownag)
Migrates ArcPy and ArcGIS Pro workflows to explicit, testable open-source Python geospatial workflows.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
install-skills
Andrew G. Brown (https://github.com/brownag)
Installs skills from aigb-skills into a coding agent's skill directory.
SkillAFreshness: A★ 7Claude Code +9 - 0.629score
performance-benchmarking
Andrew G. Brown (https://github.com/brownag)
Design and run reproducible benchmarks.
SkillAFreshness: A★ 7Claude Code +9
Cite this page
git-history-interval-study skill. Agent Mart. https://agentmart.dev/skills/andrewbrown-usda-git-history-interval-study (last updated 2026-10-24)