impact
Skill40 starsChanged 4 months agoMITView on GitHub
Generate a project-wide impact report on Draft track delivery — pace, phase duration, completion rate, friction hotspots, ADR/guardrail/decomposition adoption — by parsing track metadata, git revert history, and phase timestamps. Use when measuring CDD effectiveness ("show project impact", "where are bottlenecks", "measure track delivery").
16 other projects use a version of this.
Adopted by
Most recently taken up by
- jskswamy/skillstheir own version, first seen Nov 8, 2026
- paulocsb/worldcup-fifa-pooltheir own version, first seen Nov 8, 2026
- ai-agent-lead/skillstheir own version, first seen Nov 1, 2026
- ShiftinBits/constellation-claudetheir own version, first seen Nov 1, 2026
- stoa-platform/stoatheir own version, first seen Nov 1, 2026
- DataWithBaraa/claude-code-data-engineering-skillstheir own version, first seen Nov 1, 2026
Other versions16 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 16
- DataWithBaraa/claude-code-data-engineering-skills★ 84same name
- mbwsims/claude-universe★ 71same name
- Anuj7411/sipcode★ 46same name
- huiruru/ecoguilt★ 9same name
- stoa-platform/stoa★ 9same name
- gonimar/claude-web-studio★ 4same name
- ai-agent-lead/skills★ 3same name
- jskswamy/skills★ 3same name
- Jsnnmsc/10000x-engineer★ 2same name
- ShiftinBits/constellation-claude★ 2same name
6 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository35 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- web/llms-full.txtllms.txt
- web/llms.txtllms.txt
- adrSkill
- assist-reviewSkill
- bughuntSkill
- changeSkill
- coverageSkill
- debugSkill
- decomposeSkill
- deep-reviewSkill
- deploy-checklistSkill
- discoverSkill
- docsSkill
- documentationSkill
- draftSkill
- graphSkill
- implementSkill
- incident-responseSkill
- initSkill
- integrationsSkill
- jiraSkill
- learnSkill
- new-trackSkill
- opsSkill
- planSkill
- quick-reviewSkill
- revertSkill
- reviewSkill
- standupSkill
- statusSkill
- tech-debtSkill
- testing-strategySkill
- tourSkill
- uploadSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 0 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 16 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 32
Read all draft/tracks.md entries.
- Very specific: line 34
If no tracks exist, report "No tracks found.
- Very specific: line 35
Run "$DRAFT_TOOLS/check-scope-conflicts.sh" to surface adjacent tracks sharing scope tags — duplicate effort signals in impact reporting.
- Very specific: line 85
Every impact/telemetry report must end with a ## Next Actions section listing the smallest set of follow-ups in execution order.
“Common” is measured: kept by at least 6 in 10 of the 16 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Draft Impact: Track Telemetry & Analytics
Generate a project-wide impact report measuring Context-Driven Development effectiveness across all tracks.
Red Flags - STOP if you're
- Profiling code coverage instead of measuring track-level impact.
- Rewriting tracker logic when local state objects are available for inspection.
- Generating reports without reading existing track metadata first.
Execution Constraints
First resolve the bundled helpers:
# Locate Draft's bundled helpers (cwd is the user's project; ${CLAUDE_PLUGIN_ROOT}
# is not exported into skill Bash). See core/shared/tool-resolver.md.
DRAFT_TOOLS="${DRAFT_PLUGIN_ROOT:-$(cat ~/.cache/draft/plugin-root 2>/dev/null)}/scripts/tools"
[ -d "$DRAFT_TOOLS" ] || DRAFT_TOOLS="$(ls -d ~/.claude/plugins/cache/*/draft/*/scripts/tools 2>/dev/null | sort -V | tail -1)"
[ -d "$DRAFT_TOOLS" ] || DRAFT_TOOLS="$(ls -d ~/.claude/plugins/marketplaces/*draft*/scripts/tools 2>/dev/null | tail -1)"
[ -d "$DRAFT_TOOLS" ] || DRAFT_TOOLS="$PWD/scripts/tools"- Load Track State:
- Read all
draft/tracks.mdentries. - For each track, read
metadata.jsonto extract:created_at,updated,status, phase counts, task counts,scope_includes,scope_excludes. - If no tracks exist, report "No tracks found. Run
/draft:new-trackto create your first track." - Run
"$DRAFT_TOOLS/check-scope-conflicts.sh"to surface adjacent tracks sharing scope tags — duplicate effort signals in impact reporting. Schema: core/shared/template-contract.md.
- Read all
- Compute Metrics:
- Delivery Pace: Average elapsed time from track creation to completion (planning → implementation → review).
- Phase Duration: Time spent in each phase (planning, implementation, review). Flag any phase exceeding 14 days without updates.
- Completion Rate: Ratio of completed tracks to total tracks.
- Task Granularity: Average tasks per track. Flag tracks with fewer than 3 tasks (under-decomposed) or more than 30 (over-decomposed).
- Friction Detection:
- Scan
git logfor revert commits associated with each track. - High revert count (>2 per track) signals unclear specification boundaries.
- Flag tracks that moved backward (e.g., from implementation back to planning).
- Scan
- Architectural Impact:
- Count ADRs created (
draft/adrs/). - Count guardrail entries added via
/draft:learn. - Count modules decomposed via
/draft:decompose.
- Count ADRs created (
Report Output: Generate a Markdown report with sections shown below. The shape is fixed so reports diff cleanly across runs.
# Draft Impact Report — {YYYY-MM-DD} ## Summary - Total tracks: 12 (Completed: 7, In-progress: 3, Abandoned: 2) ## Delivery Pace - Average track duration: 8.4 days | Median: 6 days - Phases exceeding 14d without update: <list track IDs or "none"> ## Friction Hotspots | Track | Reverts | Stall (days) | Notes | |---|---|---|---| | track-042 | 3 | 9 | Reverted after review; spec scope unclear | ## CDD Adoption - ADRs: 4 | Guardrail entries: 11 | Decomposed modules: 6 ## Recommendations - <one actionable suggestion per detected pattern>
Report Closing: Next Actions (REQUIRED)
Every impact/telemetry report must end with a ## Next Actions section listing the smallest set of follow-ups in execution order. Use this exact shape:
## Next Actions
| # | Action | Owner | Blocker? | Skill / Command |
|---|---|---|---|---|
| 1 | <imperative one-liner> | <team-lead|TBD> | no | `/draft:<skill> <args>` or `n/a` |Rules:
- Impact reports are advisory —
Blocker? = nois the default; markyesonly when a metric breach demands immediate process change. - Suggest
/draft:tech-debtfor systemic friction,/draft:adrfor methodology adjustments,/draft:tourfor onboarding gaps. - Cap at 7 actions.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

